Table 1.
Classifiers | Accuracy (%) | Recall | Precision | f1-Score | Num of Features |
---|---|---|---|---|---|
XGboost | 87.14 | 96.05 | 82.96 | 89.02 | 22 |
RF | 88.57 | 94.74 | 85.71 | 90.00 | 8 |
SVM | 85.71 | 93.42 | 82.56 | 87.65 | 5 |
MLP | 87.86 | 96.05 | 83.91 | 89.57 | 6 |
LR | 87.86 | 93.42 | 85.54 | 89.03 | 6 |
In bold the model with the highest accuracy.