| Logging training | |
| Running DummyClassifier() | |
| accuracy: 0.627 average_precision: 0.373 roc_auc: 0.500 recall_macro: 0.500 f1_macro: 0.386 | |
| === new best DummyClassifier() (using recall_macro): | |
| accuracy: 0.627 average_precision: 0.373 roc_auc: 0.500 recall_macro: 0.500 f1_macro: 0.386 | |
| Running GaussianNB() | |
| accuracy: 0.924 average_precision: 0.974 roc_auc: 0.984 recall_macro: 0.920 f1_macro: 0.919 | |
| === new best GaussianNB() (using recall_macro): | |
| accuracy: 0.924 average_precision: 0.974 roc_auc: 0.984 recall_macro: 0.920 f1_macro: 0.919 | |
| Running MultinomialNB() | |
| accuracy: 0.840 average_precision: 0.914 roc_auc: 0.927 recall_macro: 0.787 f1_macro: 0.807 | |
| Running DecisionTreeClassifier(class_weight='balanced', max_depth=1) | |
| accuracy: 0.900 average_precision: 0.797 roc_auc: 0.898 recall_macro: 0.898 f1_macro: 0.894 | |
| Running DecisionTreeClassifier(class_weight='balanced', max_depth=5) | |
| accuracy: 0.940 average_precision: 0.881 roc_auc: 0.938 recall_macro: 0.938 f1_macro: 0.936 | |
| === new best DecisionTreeClassifier(class_weight='balanced', max_depth=5) (using recall_macro): | |
| accuracy: 0.940 average_precision: 0.881 roc_auc: 0.938 recall_macro: 0.938 f1_macro: 0.936 | |
| Running DecisionTreeClassifier(class_weight='balanced', min_impurity_decrease=0.01) | |
| accuracy: 0.937 average_precision: 0.884 roc_auc: 0.933 recall_macro: 0.936 f1_macro: 0.933 | |
| Running LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000) | |
| accuracy: 0.979 average_precision: 0.994 roc_auc: 0.995 recall_macro: 0.977 f1_macro: 0.977 | |
| === new best LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000) (using recall_macro): | |
| accuracy: 0.979 average_precision: 0.994 roc_auc: 0.995 recall_macro: 0.977 f1_macro: 0.977 | |
| Running LogisticRegression(class_weight='balanced', max_iter=1000) | |
| accuracy: 0.968 average_precision: 0.994 roc_auc: 0.995 recall_macro: 0.967 f1_macro: 0.966 | |
| Best model: | |
| LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000) | |
| Best Scores: | |
| accuracy: 0.979 average_precision: 0.994 roc_auc: 0.995 recall_macro: 0.977 f1_macro: 0.977 | |