Table 4 Accuracies of different models from Experiment 1A (classification with all features) on the testing set
Model | Accuracy (%) on testing set |
|---|---|
Logistic Regression | 68 |
Support Vector Machine | 72 |
Random Forest | 83 |
XGBoost | 77 |
CatBoost | 82 |
Artificial Neural Network | 80 |