Table 21. ML classifiers accuracy comparison without HP and with HP.
| S.no | ML classifier | Accuracy without HP | Accuracy with HP |
|---|---|---|---|
| 1 | Linear SVM (LSVM) | 96% | 98% |
| 2 | Logistic Regression (LR) | 90% | 97% |
| 3 | Random Forest (RF) | 96% | 97% |
| 4 | K-Nearest Neighbor (KNN) | 78% | 85% |
| 5 | Naive Bayes (NB) | 44% | 70% |
| 6 | XGBoost (XGB) | 95% | 97% |
| 7 | Light GBM (LGBM) | 96% | 98% |
| 8 | Bagging (BAGG) | 96% | 98% |