Table 14 Results of classifiers (in %) with Relief.
Classifier | Training accuracy | Testing Accuracy | Precision | Sensitivity | Specificity | F1 score | AUC |
|---|---|---|---|---|---|---|---|
LR | 82.9 | 85.3 | 87 | 86 | 84 | 87 | 90 |
DT | 85.8 | 86.6 | 86 | 90 | 82 | 88 | 90 |
RF | 86.2 | 88.2 | 89 | 89 | 87 | 89 | 94 |
KNN | 86.9 | 85.2 | 84 | 86 | 79 | 85 | 91 |
SVM | 82.8 | 84.9 | 87 | 86 | 84 | 86 | 90 |
GNB | 81.6 | 84.5 | 86 | 86 | 82 | 86 | 90 |
XGBoost | 98 | 90.3 | 92 | 90 | 91 | 91 | 94 |
AdaBoost | 84.8 | 85.7 | 85 | 90 | 80 | 87 | 91 |
SGD | 83.1 | 84.5 | 87 | 85 | 84 | 86 | 90 |
GB | 91.1 | 89.9 | 90 | 92 | 88 | 91 | 95 |
ETC | 84.2 | 86.1 | 87 | 89 | 83 | 88 | 92 |
CatBoost | 85.4 | 81.9 | 95 | 71 | 95 | 81 | 94 |
LightGBM | 91.3 | 84.9 | 95 | 76 | 95 | 85 | 94 |
MLP | 86.9 | 84.9 | 83 | 92 | 77 | 87 | 92 |
RNN | 87.5 | 87 | 94 | 69 | 94 | 79 | 82 |
LSTM | 85.4 | 85.7 | 91 | 71 | 92 | 80 | 81 |
GRU | 86.1 | 89.1 | 95 | 74 | 95 | 83 | 85 |
Bi-LSTM | 85.8 | 88.2 | 93 | 76 | 93 | 84 | 84 |
Bi-GRU | 86.9 | 88.7 | 94 | 74 | 94 | 83 | 84 |
CNN | 86.3 | 87.8 | 94 | 73 | 94 | 82 | 85 |
Hybrid Model | 86.3 | 88.2 | 95 | 73 | 95 | 82 | 92 |
