Table 3.

Comparison of performance of the four machine learning models.

Model	AUC	Sensitivity	Specificity	Accuracy
LR	0.7601	0.6320	0.7636	0.7550
DT	0.7280	0.5821	0.7633	0.7514
RF	0.7772	0.6428	0.7524	0.7453
XGBoost	0.7805	0.6452	0.7577	0.7503