Table 2.

Model Performance Based on Five-Fold Out-of-Fold Predictions

Model	AUC (95% CI)	Accuracy (95% CI)	Sensitivity (95% CI)	Specificity (95% CI)	PPV (95% CI)	NPV (95% CI)
Clinical only	0.707 (0.622–0.786)	0.689 (0.628–0.762)	0.761 (0.523–0.899)	0.605 (0.443–0.845)	0.691 (0.610–0.817)	0.687 (0.562–0.826)
Clinical + body composition	0.806 (0.739–0.870)	0.756 (0.695–0.829)	0.739 (0.581–0.854)	0.776 (0.679–0.914)	0.793 (0.711–0.908)	0.720 (0.616–0.833)
Clinical + radiomics	0.738 (0.653–0.815)	0.713 (0.652–0.793)	0.784 (0.524–0.890)	0.632 (0.527–0.893)	0.711 (0.646–0.872)	0.716 (0.576–0.837)
Clinical + body composition + radiomics	0.830 (0.764–0.890)	0.768 (0.720–0.841)	0.784 (0.610–0.953)	0.750 (0.573–0.934)	0.784 (0.689–0.924)	0.750 (0.634–0.929)
EPIC	0.545	0.512	0.295	0.763	0.591	0.483
mPASS	0.627	0.640	0.818	0.434	0.626	0.673

Notes: Values for XGBoost-based models are presented with 95% confidence intervals; EPIC and mPASS are shown as point estimates.

Abbreviations: AUC, area under the receiver operating characteristic curve; PPV, positive predictive value; NPV, negative predictive value; EPIC, extrapancreatic inflammation on CT score; mPASS, modified Pancreatitis Activity Scoring System. BISAP was not included in the performance table because no clinically meaningful cutoff was identified in this cohort; it was therefore presented only in the ROC analysis as a reference comparator.