Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology

Table 2 Performance matrix (identification cohort vs validation cohort)

Accuracy	Sensitivity	Specificity	PPV	NPV
ID: 0.8361; 95%CI: 0.7191-0.9185	ID: 0.9792	ID: 0.3077	ID: 0.8393	ID: 0.800
VD: 0.7607; 95%CI: 0.673-0.8347	VD: 0.9630	VD: 0.3056	VD: 0.7573	VD: 0.7857

The performance values for the auto-machine-learning-based predictive model are listed. The identification cohort of the Ludwig-Maximilians-Universität in Munich University Hospital (ID) vs the data of the predictive models from the validation cohort with patient data from the University Hospital Göttingen and the Klinikum Rechts der Isar (VD). CI: Confidence interval; PPV: Positive predictive value; NPV: Negative predictive value.