Table 3.

Classification performance on the test set using SVM.

Features	Acc	Sen	Spc	Yi	AUC
All features	0.875	0.885	0.857	0.742	0.898
Morphological features	0.825	0.826	0.824	0.650	0.862
Spatial features	0.850	0.864	0.833	0.697	0.886

SVM, support vector machine; Acc, accuracy; Sen, sensitivity; Spc, specificity; Yi, Youden index; AUC, area under the curve.