Table 12 Results of classifiers (in %) with MAD.
Classifier | Training accuracy | Testing accuracy | Precision | Sensitivity | Specificity | F1 score | AUC |
|---|---|---|---|---|---|---|---|
LR | 69 | 71 | 75 | 71 | 71 | 73 | 75 |
DT | 76.7 | 71.4 | 73 | 76 | 66 | 74 | 76 |
RF | 79.3 | 76.5 | 78 | 80 | 72 | 79 | 83 |
KNN | 78.7 | 71 | 75 | 72 | 70 | 73 | 77 |
SVM | 68.9 | 69.3 | 74 | 69 | 70 | 71 | 75 |
GNB | 70 | 68.9 | 76 | 63 | 76 | 69 | 76 |
XGBoost | 99.8 | 81.9 | 85 | 82 | 82 | 83 | 88 |
AdaBoost | 75.3 | 72.7 | 78 | 70 | 76 | 74 | 78 |
SGD | 56.7 | 58 | 57 | 98 | 10 | 72 | 54 |
GB | 97.2 | 77.7 | 80 | 80 | 76 | 80 | 86 |
ETC | 74.1 | 71.8 | 75 | 73 | 71 | 94 | 79 |
CatBoost | 76.7 | 74 | 92 | 58 | 94 | 71 | 89 |
LightGBM | 90.8 | 73.1 | 89 | 58 | 92 | 70 | 88 |
MLP | 70.9 | 68.9 | 78 | 60 | 79 | 68 | 78 |
RNN | 75 | 71 | 88 | 34 | 94 | 49 | 64 |
LSTM | 74.1 | 72.7 | 86 | 37 | 93 | 52 | 65 |
GRU | 74.5 | 72.3 | 87 | 31 | 94 | 46 | 63 |
Bi-LSTM | 72.4 | 71.4 | 88 | 35 | 94 | 50 | 65 |
Bi-GRU | 74.6 | 73.1 | 90 | 29 | 96 | 44 | 63 |
CNN | 74.1 | 71.9 | 87 | 34 | 94 | 49 | 67 |
Hybrid Model | 74.1 | 70.6 | 85 | 36 | 93 | 51 | 79 |
