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working on dissected model, testing diff feature groups

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Tanushree Tunstall 2022-06-20 21:51:07 +01:00
parent 135efcee41
commit e68a153883
4 changed files with 270 additions and 161 deletions
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6
scripts/ml/MultModelsCl.py
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@ -74,11 +74,11 @@ import json
rs = {'random_state': 42}
njobs = {'n_jobs': 10}
scoring_fn = ({ 'mcc' : make_scorer(matthews_corrcoef)
, 'accuracy' : make_scorer(accuracy_score)
scoring_fn = ({ 'mcc' : make_scorer(matthews_corrcoef)
, 'fscore' : make_scorer(f1_score)
, 'precision' : make_scorer(precision_score)
, 'recall' : make_scorer(recall_score)
, 'accuracy' : make_scorer(accuracy_score)
, 'roc_auc' : make_scorer(roc_auc_score)
, 'jcc' : make_scorer(jaccard_score)
})
@ -137,7 +137,9 @@ def MultModelsCl(input_df, target, skf_cv
col_transform = ColumnTransformer(transformers = t
, remainder='passthrough')
#======================================================
# Specify multiple Classification models
#======================================================
models = [('Logistic Regression' , LogisticRegression(**rs) )
, ('Logistic RegressionCV' , LogisticRegressionCV(**rs) )
, ('Gaussian NB' , GaussianNB() )