Table 4.

Performance comparison of different machine learning methods.

Method	ACC	SENS	SPEC	PRE	F1	MCC	AUC
RF	0.710	0.650	0.781	0.779	0.690	0.430	0.783
SVM	0.741	0.738	0.741	0.775	0.741	0.480	0.802
GTB	0.740	0.728	0.755	0.784	0.739	0.481	0.810
XGBoost	0.744	0.740	0.755	0.785	0.744	0.494	0.822

SVM: support vector machines, GTB: Gradient Tree Boosting.