TABLE 4.

Performance of the two feature classifiers for the prediction of collateral vessels formation after revascularization in moyamoya disease.

	Accuracy	Precision	Recall	F1 score	AUC (95% CI)
SVM	0.818	0.750	1.000	0.857	0.933 (0.618–0.999)
KNN	0.636	0.667	0.667	0.667	0.867 (0.536–0.991)

SVM support vector machine, KNN k-nearest neighbors, AUC area under the curve.