Table 2.

Prediction performance of the LR model

Parameter	Training set	Validation set
Cutoff	0.318	0.318
Recall	0.897	0.857
Precision	0.765	0.857
Sensitivity	0.897	0.857
Specificity	0.843	0.923
Accuracy	0.863	0.900
F1	0.825	0.857
Brier	0.105	0.077
AUC (95% CI)	0.928 (0.874–0.983)	0.890 (0.731–1.000)