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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: IEEE Trans Auton Ment Dev. 2015 Oct 26;7(4):320–331. doi: 10.1109/TAMD.2015.2440298

TABLE III.

Determining the Optimal Discriminative Features Numbers Using SVM-FoBa in Single Modality

Modality Accuracy Sensitivity Specificity No. of
features
fALFF BD vs. MDD 73.91% 71.43% 80.00% 16
BD vs. HC 63.64% 57.14% 69.57% 5
MDD vs. HC 64.58% 60.00% 73.91% 28
VBM-GM BD vs. MDD 76.09% 71.43% 84.00% 6
BD vs. HC 61.36% 57.14% 73.91% 16
MDD vs. HC 62.50% 60.00% 69.57% 6

The accuracy rates were calculated by dividing the number of the correct predictions across all folds of LOOCV by the number of samples. The sensitivity and specificity were obtained likewise.