Table 10 Results of classifiers (in %) with FDA.
Classifier | Training accuracy | Testing accuracy | Precision | Sensitivity | Specificity | F1 score | AUC |
|---|---|---|---|---|---|---|---|
LR | 78.2 | 82.8 | 86 | 82 | 83 | 84 | 87 |
DT | 86.5 | 83.2 | 82 | 89 | 77 | 85 | 91 |
RF | 87.4 | 86.6 | 87 | 89 | 83 | 88 | 93 |
KNN | 81.9 | 84.9 | 87 | 85 | 85 | 86 | 89 |
SVM | 78.8 | 83.6 | 85 | 85 | 81 | 85 | 89 |
GNB | 78 | 82.4 | 86 | 82 | 83 | 84 | 88 |
XGBoost | 98.9 | 89.5 | 91 | 90 | 89 | 90 | 94 |
AdaBoost | 84.5 | 84 | 86 | 85 | 83 | 85 | 90 |
SGD | 79.3 | 82.8 | 86 | 82 | 83 | 84 | 87 |
GB | 98.3 | 87.1 | 90 | 90 | 88 | 90 | 95 |
ETC | 83.8 | 84.1 | 87 | 86 | 84 | 86 | 92 |
CatBoost | 85.9 | 81.9 | 96 | 70 | 96 | 81 | 94 |
LightGBM | 93.9 | 81.5 | 92 | 73 | 93 | 81 | 94 |
MLP | 80.5 | 81.1 | 84 | 82 | 80 | 83 | 89 |
RNN | 84.8 | 86.6 | 94 | 69 | 94 | 79 | 82 |
LSTM | 84 | 85.3 | 93 | 79 | 93 | 85 | 86 |
GRU | 89.4 | 85.3 | 95 | 74 | 95 | 83 | 85 |
Bi-LSTM | 89.4 | 85.7 | 94 | 76 | 94 | 84 | 85 |
Bi-GRU | 90 | 85.7 | 93 | 73 | 94 | 82 | 83 |
CNN | 86.4 | 86 | 94 | 73 | 94 | 82 | 86 |
Hybrid Model | 80.7 | 85.3 | 95 | 67 | 95 | 79 | 93 |
