Table 4.

Evaluation metrics for binary classification for best performing classifiers in each scenario

Dataset	Classifier	Performance metric
		precision	recall	f1	accuracy	AUC
clinical	GNB	0.976	0.910	0.942	0.909	0.955
T1 sterols	RFC	0.849	0.963	0.902	0.829	0.664
clinical + T1 sterols	RFC	0.926	0.940	0.933	0.890	0.950
	MCL	0.817	1.000	0.899	0.817	0.500

See also Table S6. AUC, area under the ROC curve; f1, F1-score; GNB, Gaussian Naive Bayes; MCL, Majority Classifier; RFC, Random Forest.