Table 7.

Comparison of AUCs of the 5 machine learning models in the validation set

Variable 1	Variable 2	Statistic	P-value	Test Method
SMV	XGBOOST	2.130	0.033	DeLong’s test
SMV	GNB	-1.956	0.050	DeLong’s test
SMV	ADABOOST	-0.367	0.713	DeLong’s test
SMV	Random forest	1.508	0.131	DeLong’s test
XGBOOST	GNB	-3.534	<0.001	DeLong’s test
XGBOOST	ADABOOST	-3.467	<0.001	DeLong’s test
XGBOOST	Random forest	-0.101	0.919	DeLong’s test
GNB	ADABOOST	2.171	0.029	DeLong’s test
GNB	Random forest	3.681	<0.001	DeLong’s test
ADABOOST	Random forest	2.099	0.035	DeLong’s test

Note: SVM, Support Vector Machine; XGBOOST, Extreme Gradient Boosting; GNB, Gaussian Naive Bayes; ADABOOST, Adaptive Boosting.