Table 16 Comparison of the performance of the different classification models without using the SMOTE sampling method
| Â | DT | SVM | ANN | BC | BN | KNN | RF |
|---|---|---|---|---|---|---|---|
Sensitivity | 54.43% | 39.78% | 52.65% | 37.71% | 57.09% | 46.78% | 59.09% |
Specificity | 90.51% | 87.65% | 91.37% | 93.23% | 90.71% | 89.31% | 90.21% |
Precision | 22.80% | 18.03% | 31.39% | 51.32% | 24.57% | 11.12% | 19.52% |
F-score | 32.14% | 24.81% | 39.33% | 43.47% | 34.35% | 17.97% | 29.35% |
RMSE | 0.3 | 0.47 | 0.29 | 0.34 | 0.34 | 0.3 | 0.29 |
AUC | 0.73 | 0.59 | 0.80 | 0.82 | 0.83 | 0.74 | 0.82 |