Depression Disorder Classification of fMRI Data Using Sparse Low-Rank Functional Brain Network and Graph-Based Features

Table 4

Classification performance of the most commonly used classifiers.

Classifier	NSF	Accuracy (%)	Sensitivity (%)	Specificity (%)
NB	15	88.33	87.10	89.66
-NN	17	88.33	90.32	86.21
LDA	11	90.00	90.32	89.66
SVM (RBF)	11	90.00	93.55	86.21
SVM (linear)	12

NB: naive Bayes; -NN: -nearest neighbors; and LDA: linear discriminant analysis.