Table 2.

The area under the curve (AUC) of training set and inner validation set.

Models	Training set (95% CI)	Inner validation set (95% CI)
LR	0.867 (0.847–0.888)	0.862 (0.812–0.911)
SVM	0.874 (0.855–0.894)	0.871 (0.840–0.901)
RFC	0.897 (0.880–0.915)	0.866 (0.831–0.902)
XGBoost	0.890 (0.872–0.908)	0.867 (0.833–0.901)
DNN	0.877 (0.858–0.897)	0.860 (0.825–0.896)
LR*	0.874 (0.853–0.894)	0.865 (0.833–0.897)
RFC*	0.899 (0.881–0.917)	0.865 (0.835–0.894)

LR, logistic regression; SVM, support vector machine; RFC, random forest classifier; XGBoost, extreme gradient boosting; DNN, fully-connected deep neural network.

^*indicates model developed with 21 variables.