Table 8.

AUC comparison of models in the training set

Marker 1	Marker 2	Z value	P value	AUC difference	95% CI
XGBoost	AdaBoost	1.342	0.18	0.013	-0.006-0.032
XGBoost	Random Forest	6.118	<0.001	0.157	0.107-0.208
XGBoost	SVM	6.904	<0.001	0.156	0.112-0.200
XGBoost	LASSO	2.058	0.04	0.018	0.001-0.036
AdaBoost	Random Forest	5.861	<0.001	0.144	0.096-0.193
AdaBoost	SVM	6.375	<0.001	0.143	0.099-0.187
AdaBoost	LASSO	0.594	0.553	0.005	-0.012-0.022
Random Forest	SVM	-0.059	0.953	-0.001	-0.049-0.046
Random Forest	LASSO	-5.936	<0.001	-0.139	-0.185 - -0.093
SVM	LASSO	-6.497	<0.001	-0.138	-0.179 - -0.096

Note: AUC, area under the curve; XGBoost, eXtreme Gradient Boosting; AdaBoost, Adaptive Boosting; SVM, Support Vector Machine; LASSO, Least Absolute Shrinkage and Selection Operator.