Table 1 Performance of machine learning models in the validation dataset.
Model | AUC | Accuracy | F1 |
|---|---|---|---|
Logistic Regression | 0.974 | 0.932 | 0.880 |
Random Forest | 0.967 | 0.928 | 0.870 |
Support Vector Machine | 0.974 | 0.930 | 0.868 |
XGBoost | 0.974 | 0.932 | 0.880 |
Single-hidden-layer Neural Network | 0.974 | 0.930 | 0.874 |
Fusion (Stacking) | 0.974 | 0.933 | 0.881 |
