Fig. 5

Calibration curves for the (a) training dataset and (b) validation dataset. The AUC is expressed as the point estimates and 95% CI. A clinical prediction model with an AUC value > 80 is deemed to have a good discriminatory accuracy. The 45° angle long black solid line indicates an ideal calibration, as predicted and observed probabilities are equal. Abbreviations: AUC: the area under the curve; CI: confidence interval; CRE: carbapenem-resistant Enterobacterales