Table 2.

Evaluation metrics associated with each of the employed machine learning classifiers.

	Accuracy	Precision	Recall	F1-Score	ROC AUC	PR AUC	FPR
Classifier
LR	0.84	0.75	0.87	0.78	0.86	0.72	0.17
RF	0.92	0.87	0.82	0.84	0.82	0.83	0.03
GBDT	0.92	0.87	0.83	0.85	0.83	0.84	0.04
KNN	0.90	0.84	0.8	0.82	0.8	0.82	0.05
SVM	0.91	0.83	0.86	0.84	0.86	0.82	0.07