Table 12. Performance comparison of R-logistic and C-logistic classification models.

Model	Sensitivity	Specificity	Accuracy	AUC (95% CI)
R-logistic
Training set	0.948	0.571	0.875	0.936 (0.849–1.000)
Testing set	0.962	0.600	0.903	0.838 (0.751–0.981)
C-logistic
Training set	0.967	0.857	0.944	0.860 (0.771–1.281)
Testing set	0.855	0.800	0.871	0.738 (0.651–0.989)

AUC, area under the curve.