Table 3.

Model performance of four different algorithms.

Methods	AUCa	Accuracy	Recall	F1-score	Specificity
Logistic regression	0.8544	0.7726	0.7141	0.7354	0.8191
SVMb	0.8898	0.8112	0.7844	0.7861	0.8325
Random forest	0.8956	0.8343	0.8157	0.8133	0.8490
XGBoostc	0.9220	0.8478	0.8512	0.8319	0.8451

^aAUC: area under the receiver operating curve.

^bSVM: support vector machine.

^cXGBoost: extreme gradient boosting.