Table 5 Accuracies of different models from Experiment 1B (classification with selected features) on the testing set
Model | Accuracy (%) on testing set |
|---|---|
Logistic Regression | 61 |
Support Vector Machine | 62 |
Random Forest | 77 |
XGBoost | 81 |
CatBoost | 76 |
Artificial Neural Network | 65 |