Table 3.

Average performance of different feature sets and classifier models in 10-fold cross-validation.

METHOD	AUC LR	95% CI FOR LR	AUC RF	95% CI FOR RC
Xue et al	0.9499	(0.9442, 0.9556)	0.9217	(0.9128, 0.9306)
Jiang et al	0.9706	(0.9658, 0.9755)	0.9688	(0.9627, 0.9748)
Zhao et al	0.9752	(0.9688, 0.9817)	0.9679	(0.9606, 0.9753)
Our method	0.9759	(0.9730, 0.9789)	0.9716	(0.9659, 0.9772)