Table 4.

Binary classifier nested ten-fold CV metrics.

Model	Sensitivity (TPR)	Specificity (TNR)	AUROC	Accuracy
Logistic Regression	0.794 (± 0.020)	0.715 (± 0.028)	0.867 (± 0.015)	0.759 (± 0.015)
Support Vector Machine	0.773 (± 0.022)	0.753 (± 0.027)	0.856 (± 0.016)	0.762 (± 0.015)
Decision Tree	0.787 (± 0.022)	0.641 (± 0.029)	0.758 (± 0.018)	0.725 (± 0.016)
Naive Bayes	0.656 (± 0.025)	0.863 (± 0.020)	0.871 (± 0.015)	0.749 (± 0.015)
KNN Neighbors	0.830 (± 0.017)	0.752 (± 0.026)	0.830 (± 0.017)	0.724 (± 0.016)
Random Forest Classifier	0.786 (± 0.021)	0.701 (± 0.027)	0.832 (± 0.017)	0.750 (± 0.016)