Table 2.
Summary of the experimental results.
| Metric ⟶method ↓ | DNN | DNN-PCA | DNN-PCA-HHO | DT | DT-PCA | DT-PCA-HHO | KNN | KNN-PCA | KNN-PCA-HHO | NB | NB-PCA | NB-PCA-HHO | SVM | SVM-PCA | SVM-PCA-HHO | XGBoost | XGBoost-PCA | XGBoost-PCA-HHO |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Accuracy | 96.7 | 91.2 | 97 | 89.1 | 87 | 91.2 | 59.4 | 66 | 73.9 | 58 | 65 | 71.5 | 75 | 66 | 77.5 | 84.5 | 81 | 88 |
| Precision | 95.6 | 90.7 | 97 | 89.6 | 87 | 92.3 | 59.2 | 66 | 74.1 | 58 | 67 | 72.7 | 76 | 79 | 81.7 | 85.2 | 81 | 90 |
| Recall | 95.7 | 91.4 | 97 | 90.2 | 88 | 93.0 | 59.3 | 67 | 79.1 | 60 | 65 | 71.6 | 75 | 66 | 78.6 | 84.3 | 81 | 90 |
| Sensitivity | 91.1 | 88.3 | 91 | 86.9 | 85 | 90.5 | 60.9 | 64 | 72.1 | 61 | 63 | 72.5 | 84 | 86 | 88.2 | 76.5 | 82 | 84 |
| Specificity | 95.1 | 92.2 | 96 | 91.1 | 91 | 93.4 | 57.9 | 64 | 68.2 | 58 | 65 | 73.2 | 85 | 60 | 90.3 | 64.6 | 80 | 82 |