Table 3:

Model evaluation based on different feature selection methods

Feature selection methods	Accuracy	Precision	Sensitivity	Specificity	AUC
Statistic analyse	0.872	0.851	0.930	0.800	0.926
RF	0.910	0.875	0.977	0.829	0.924
XGBoost	0.897	0.857	0.977	0.800	0.915