Table 3.

Model performance of diagnostic accuracy in the derivation and validation datasets.

	Training (95% CI)	Validation (95% CI)
AUC	0.963 (0.941–0.982)	0.771 (0.718–0.823)
Accuracy	0.904 (0.888–0.925)	0.704 (0.654–0.753)
Sensitivity/Recall	0.871 (0.822–0.926)	0.677 (0.598–0.750)
Specificity	0.935 (0.884–0.967)	0.730 (0.660–0.798)
PPV/Precision	0.930 (0.883–0.961)	0.706 (0.631–0.779)
F-score	0.899 (0.880–0.924)	0.690 (0.625–0.750)