TABLE 5.

Performance report of the random forest classifier.

	Test performance
	ACC (%)	SEN (%)	SPE (%)	PPV (%)	NPV (%)	ROC-AUC (%)
Train	93.41	86.83	100	100	88.55	99.32
Test	89.29	78.57	100	78.57	89.29	85.71
CI	49.93 (72.45)	46.14 (75.10)	53.71 (83.92)	35.21 (58.97)	39.00 (63.28)	51.39 (81.51)

In the bottom row, upper boundary of the confidence interval is presented in parentheses below the mean. ACC, accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative predictive value; ROC-AUC, area under the receiver operator characteristic curve; CI, confidence interval.