Model Name | Accuracy Train | Accuracy Test | Recall Train | Recall Test | ROC-AUC Test | F1 Test | MCC Test |
---|---|---|---|---|---|---|---|
Voting Classifier | 1.000 | 0.730 | 0.997 | 0.713 | 0.784 | 0.726 | 0.460 |
Stacking Classifier | 0.855 | 0.723 | 0.915 | 0.800 | 0.772 | 0.744 | 0.451 |
Gradient Boosting Classifier | 1.000 | 0.730 | 1.000 | 0.625 | 0.775 | 0.699 | 0.470 |
Logistic Regression | 0.706 | 0.692 | 0.733 | 0.763 | 0.766 | 0.713 | 0.387 |
Random Forest Classifier | 0.935 | 0.679 | 0.940 | 0.750 | 0.757 | 0.702 | 0.361 |
Adaptive Boosting Classifier | 0.751 | 0.667 | 0.802 | 0.775 | 0.723 | 0.701 | 0.340 |