TABLE II. Performance of Machine Learning Models.
Classifiers | Accuracy | Precision | Recall | F-score |
---|---|---|---|---|
AdaBoost Classifier | 0.604 | 0.712 | 0.781 | 0.746 |
Voting Classifier (LR+SGD) | 0.592 | 0.702 | 0.769 | 0.735 |
Gradient Boosting Classifier | 0.671 | 0.782 | 0.771 | 0.776 |
Extra Tree Classifier | 0.697 | 0.748 | 0.784 | 0.766 |
Random Forest Classifier | 0.754 | 0.794 | 0.810 | 0.802 |