Table 4.

Performance of random forest, AdaBoost, GBDT, and XGBoost models to screen COVID-19.

Model	AUC	AUC_95% CI	AUC_SD	AUC_p value	Confusion matrix
Random Forest	85.7%	0.813, 0.902	0.02	<0.001	[66, 57], [14, 138]
AdaBoost	85.4%	0.810, 0.899	0.02	<0.001	[89, 34], [30, 122]
GBDT	86.4%	0.821, 0.907	0.02	<0.001	[91, 32], [22, 130]
XGBoost	84.9%	0.803, 0.894	0.02	<0.001	[75, 48], [20, 132]