Table 15 Results of classifiers (in %) with Lasso.
Classifier | Training accuracy | Testing accuracy | Precision | Sensitivity | Specificity | F1 score | AUC |
|---|---|---|---|---|---|---|---|
LR | 83.4 | 85.3 | 87 | 86 | 84 | 87 | 91 |
DT | 85.7 | 86.1 | 86 | 90 | 81 | 88 | 92 |
RF | 86.9 | 88.2 | 86 | 94 | 81 | 90 | 94 |
KNN | 87.2 | 84.5 | 85 | 87 | 81 | 86 | 90 |
SVM | 83.6 | 85.7 | 87 | 87 | 84 | 87 | 90 |
GNB | 82.8 | 86.1 | 87 | 88 | 89 | 87 | 91 |
XGBoost | 88 | 87.4 | 88 | 90 | 85 | 89 | 93 |
AdaBoost | 85.1 | 84 | 85 | 86 | 81 | 86 | 92 |
SGD 8 | 3.7 | 86.1 | 88 | 87 | 85 | 87 | 91 |
GB | 91.8 | 85.3 | 88 | 85 | 86 | 86 | 94 |
ETC | 85.2 | 85.3 | 87 | 86 | 84 | 87 | 93 |
CatBoost | 85.9 | 80.7 | 96 | 68 | 96 | 80 | 94 |
LightGBM | 88.3 | 82.4 | 92 | 74 | 93 | 82 | 94 |
MLP | 90.2 | 83.6 | 88 | 82 | 86 | 85 | 91 |
RNN | 87.7 | 85.3 | 96 | 67 | 96 | 79 | 82 |
LSTM | 86.7 | 88.2 | 93 | 70 | 93 | 80 | 81 |
GRU | 87.1 | 86.6 | 94 | 70 | 94 | 80 | 82 |
Bi-LSTM | 86.2 | 88.7 | 94 | 70 | 94 | 80 | 82 |
Bi-GRU | 87.3 | 88.2 | 95 | 66 | 95 | 78 | 80 |
CNN | 87.3 | 87.2 | 94 | 70 | 94 | 80 | 83 |
Hybrid Model | 88.6 | 86.1 | 93 | 70 | 94 | 80 | 93 |
