Table 4 Precision obtained by the classifiers for various feature selection methods (In %).
Algorithm | WO | SCA | PSO | JA | HHO | GWO | GA | FPO | FA | DE | CSA | BA | MI |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Random forest | 84 | 84 | 81 | 87 | 91 | 82 | 86 | 89 | 82 | 83 | 82 | 92 | 91 |
Logistic regression | 81 | 75 | 78 | 81 | 82 | 79 | 81 | 84 | 83 | 81 | 80 | 83 | 83 |
Decision Tree | 77 | 81 | 73 | 87 | 79 | 78 | 84 | 78 | 77 | 75 | 72 | 86 | 84 |
KNN | 75 | 81 | 75 | 77 | 77 | 82 | 78 | 78 | 78 | 78 | 76 | 78 | 77 |
Adaboost | 81 | 86 | 75 | 87 | 90 | 82 | 85 | 87 | 81 | 83 | 82 | 89 | 93 |
Catboost | 86 | 86 | 76 | 88 | 92 | 82 | 86 | 88 | 82 | 86 | 82 | 90 | 94 |
Lightgbm | 86 | 83 | 79 | 88 | 90 | 84 | 83 | 88 | 82 | 84 | 82 | 90 | 93 |
Xgboost | 84 | 85 | 82 | 89 | 92 | 84 | 86 | 86 | 82 | 85 | 85 | 91 | 95 |
Stacking | 86 | 82 | 80 | 87 | 80 | 83 | 84 | 87 | 84 | 86 | 83 | 91 | 92 |
Hard-voting | 87 | 83 | 79 | 90 | 84 | 83 | 87 | 86 | 83 | 78 | 86 | 91 | 94 |
Soft-voting | 89 | 82 | 79 | 89 | 84 | 83 | 87 | 84 | 83 | 78 | 86 | 90 | 94 |