TABLE 2.

Accuracy parameters in the different datasets

Data	ROC-AUC (95% CI)	Accuracy value (95% CI)	No information rate (NIR)	Sensitivity	Specificity	PPV	NPV
Training set	0.99 (0.97–1.00)	0.95 (0.92–0.98)	0.85****	0.73	0.99	0.93	0.96
Training set LOO-CV	0.98 (0.97–1.00)	0.95 (0.92–0.98)	0.85****	0.73	0.99	0.93	0.96
Validation set	0.98 (0.94–1.00)	0.96 (0.90–0.99)	0.88**	0.69	0.99	0.90	0.96
1:1 case control comparison (average of 1000 iterations on training set) (95% CI)	0.98	0.91 (0.83–0.97)	0.50****	0.88 (0.88–0.88)	0.95 (0.95–0.95)	0.95 (0.94–0.95)	0.89 (0.89–0.89)

ROC: receiver operating characteristic; AUC: area under the curve; CI: confidence interval; PPV: positive predictive value; NPV: negative predictive value; LOO-CV: leave-one-out cross-validation. **: AUC>NIR: p<0.01; ****: AUC>NIR: p<0.0001.