Table 3

- Models evaluation metrics.

Models	Accuracy	Precision	Recall	F1-score	AUC-ROC
Random forest	0.73	0.71	0.77	0.74	0.81
Decision tree	0.70	0.69	0.73	0.71	0.73
Gradient boosting	0.65	0.66	0.64	0.65	0.72
Logistic regression	0.65	0.65	0.62	0.64	0.70

F1-score: harmonic mean of precision and recall, AUC: area under the curve, ROC: receiver-operating characteristic curve