| ID | Model | Accuracy | AUC | Recall | Prec. | F1 | Kappa | MCC | TT (Sec) |
|---|---|---|---|---|---|---|---|---|---|
| rf | Random Forest Classifier | 0.9776 | 0.9938 | 0.9598 | 0.9818 | 0.9705 | 0.9524 | 0.9528 | 1.1310 |
| et | Extra Trees Classifier | 0.9776 | 0.9954 | 0.9635 | 0.9784 | 0.9707 | 0.9525 | 0.9529 | 0.3360 |
| lr | Logistic Regression | 0.9761 | 0.9954 | 0.9599 | 0.9780 | 0.9686 | 0.9494 | 0.9498 | 0.1210 |
| dt | Decision Tree Classifier | 0.9635 | 0.9621 | 0.9562 | 0.9505 | 0.9529 | 0.9231 | 0.9238 | 0.0990 |
| svm | SVM - Linear Kernel | 0.9621 | 0.9945 | 0.9489 | 0.9529 | 0.9507 | 0.9199 | 0.9202 | 0.1000 |
| knn | K Neighbors Classifier | 0.9325 | 0.9718 | 0.8937 | 0.9306 | 0.9108 | 0.8566 | 0.8582 | 0.1000 |
| nb | Naive Bayes | 0.9270 | 0.9665 | 0.9560 | 0.8709 | 0.9102 | 0.8490 | 0.8533 | 0.0990 |
✅ Model comparison completed successfully!