Table 4.
Comparison of ML classifiers’ performance for different metrics.
Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) | |
---|---|---|---|---|
XGBoost | 87.93 | 85.45 | 80.32 | 83.23 |
RF | 80.63 | 79.34 | 76.21 | 74.43 |
KNN | 72.06 | 71.21 | 69.32 | 70.21 |
LR | 59.68 | 55.43 | 51.22 | 52.10 |
SVM | 55.87 | 52.32 | 50.32 | 51.21 |