Table 3.

Comparison between different classifiers.

	Logistic regression	Support vector machine	Random forest
AUC*	0.8104 (0.6952–0.9113)	0.8165 (0.6854–0.9344)	0.8358 (0.7321–0.9269)
Sensitivity	0.7226 (0.4074–0.9815)	0.8631 (0.6471–0.9608)	0.7695 (0.6102–0.9074)
Specificity	0.8200 (0.5000–1.0)	0.8013 (0.6000–1.0)	0.8686 (0.6923–1.0)
Youden's index	0.5426 (0.3680–0.7363)	0.6644 (0.4657–0.8644)	0.6380 (0.4475–0.8182)
Accuracy	0.7103 (0.5616–0.8219)	0.8334 (0.6849–0.8493)	0.7780 (0.7397–0.7945)

^*AUC, area under the receiver operating characteristic curve.