Table 17 Results of classifiers (in %) with LDA.
Classifier | Training accuracy | Testing accuracy | Precision | Sensitivity | Specificity | F1 score | AUC |
|---|---|---|---|---|---|---|---|
LR | 83.7 | 85.7 | 88 | 86 | 85 | 87 | 90 |
DT | 84.9 | 87 | 87 | 90 | 83 | 88 | 92 |
RF | 85.2 | 87 | 87 | 90 | 83 | 88 | 93 |
KNN | 83.4 | 84.9 | 85 | 89 | 80 | 87 | 84 |
SVM | 83.1 | 86.6 | 87 | 89 | 84 | 88 | 90 |
GNB | 81.3 | 83.2 | 86 | 82 | 84 | 84 | 89 |
XGBoost | 85.1 | 87.8 | 88 | 91 | 84 | 89 | 92 |
AdaBoost | 83.7 | 87 | 86 | 91 | 82 | 89 | 92 |
SGD | 83.5 | 84.5 | 86 | 86 | 83 | 86 | 89 |
GB | 85.5 | 87 | 87 | 90 | 83 | 88 | 92 |
ETC | 84.7 | 84.9 | 88 | 84 | 86 | 86 | 92 |
CatBoost | 84.9 | 79 | 91 | 69 | 92 | 78 | 92 |
LightGBM | 84.8 | 79 | 91 | 69 | 92 | 78 | 92 |
MLP | 85.7 | 85.7 | 86 | 89 | 82 | 87 | 93 |
RNN | 85 | 87 | 90 | 73 | 90 | 80 | 81 |
LSTM | 85.3 | 87 | 93 | 66 | 94 | 77 | 80 |
GRU | 84.8 | 87.4 | 92 | 64 | 94 | 76 | 79 |
Bi-LSTM | 85.4 | 85.7 | 92 | 64 | 94 | 76 | 79 |
Bi-GRU | 85.9 | 87.4 | 94 | 61 | 94 | 74 | 78 |
CNN | 85.4 | 87.1 | 92 | 67 | 93 | 77 | 82 |
Hybrid Model | 85.3 | 87.8 | 89 | 71 | 90 | 79 | 92 |
