Table 3.

Classification Tree Performance

	Fit Metrics
	Sensitivity	Specificity	PPV	NPV	Accuracy	F-Statistic	ROC-AUC	PR-AUC
Mean	81.91	79.66	5.44	99.68	0.80	0.87	0.86	0.25
95% CI	58.61–100.0	72.11–87.22	3.23–7.66	99.28–100.0	0.72–0.87	0.83–0.92	0.75–0.97	0.05–0.45
	Contingency Matrix
	TP	FN	FP	TN
	181	37	2923	12503

PPV=Positive Predictive Value, NPV=Negative Predictive Value, ROC-AUC=Area Under the Receiver Curve, PR-AUC=Precision-Recall Area Under the Curve, TP=True Positives, FN=False Negatives, FP=False Positives, TN=True Negatives, 95%CI=95% Confidence Interval. F-statistic is reported as weighted average.