Table 2.

Performance metrics from the development and external validation cohorts for the Random Forest (RF) model.

Metrics	Development Cohort	External Validation Cohort
AUC	0.829 (95% CI 0.743–0.916)	0.716 (95% CI 0.663–0.769)
Sensitivity	0.125 (95% CI 0.016–0.383)	0.074 (95% CI 0.030–0.146)
Specificity	0.979 (95% CI 0.953–0.993)	0.984 (95% CI 0.979–0.989)
PPV	0.286 (95% CI 0.037–0.710)	0.156 (95% CI 0.065–0.295)
NPV	0.945 (95% CI 0.909–0.969)	0.965 (95% CI 0.957–0.972)
AUPRC	0.253	0.093

Abbreviations: AUC, Area under the curve; PPV, positive predictive value; NPV, negative predictive value; AUPRC, area under the precision recall curve; and CI: confidence interval.