Table 2.

Comparison of prediction results of different machine learning models.

Model	PPV	Recall	F1-Score	Accuracy	AUC	BS	MCC
Random Forest	0.961	0.973	0.973	0.973	0.973	0.030	0.946
XGBoost	0.967	0.978	0.978	0.978	0.978	0.023	0.957
AdaBoost	0.956	0.973	0.971	0.972	0.973	0.130	0.946
Bagging	0.956	0.967	0.967	0.967	0.967	0.032	0.935
Boosting	0.956	0.967	0.967	0.967	0.967	0.030	0.935

PPV—positive predictive value; BS—Brier score; MCC—Matthews correlation coefficient.