Table 2.

Prediction performance for each model in the validation cohort

Metrics	LR	eXGBM	DT	SVM	RF	LightGBM
AUC (95%CI)	0.769 (0.727–0.804)	0.949 (0.933–0.961)	0.710, (0.670–0.756)	0.771 (0.726–0.813)	0.936 (0.912–0.956)	0.953 (0.938–0.965)
Accuracy	0.707	0.871	0.636	0.709	0.866	0.890
Precise	0.700	0.855	0.678	0.692	0.857	0.902
Recall	0.724	0.892	0.517	0.754	0.879	0.875
F1 score	0.712	0.873	0.587	0.722	0.868	0.888
Brier score	0.198	0.088	0.224	0.198	0.116	0.094
Log loss	0.580	0.291	0.646	0.580	0.389	0.427
Discrimination slope	0.188	0.647	0.171	0.180	0.422	0.749
Calibration slope	1.169	0.999	0.625	1.275	2.074	0.375
Intercept-in-large value	0.049	-0.108	0.047	0.037	-0.112	0.100
Total score	28	50	17	32	37	48

AUC, area under the curve; CI, confident interval