Table 3.

The result of specific performance of six ML algorithm models.

Scoring	LR	NBC	DT	RF	GBM	XGB
Auc	0.797	0.726	0.680	0.794	0.779	0.846
Accuracy	0.789	0.721	0.853	0.863	0.833	0.926
Sensitivity (recall)	0.801	0.730	0.867	0.883	0.852	0.949
Specificity	0.500	0.500	0.500	0.375	0.375	0.375
F1	0.157	0.123	0.211	0.176	0.150	0.286