Table 5.

Performance of different classifiers

Classifier	Accuracy	Precision	Recall	F1-score	AUC
Logistic regression	0.7997	0.7625	0.6550	0.6771	0.7725
XGBoost	0.7870	0.7245	0.6574	0.6753	0.7464
Random forest	0.7921	0.7947	0.6130	0.6265	0.7684
Decision tree	0.7012	0.6168	0.6247	0.6200	0.6247