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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

Fig. 3.

Fig. 3

Performance of the linear SVM classifier using the significant features (1,000 bootstrap resamples). Paired T-tests were conducted to show the significance of differences between performance indices with two level of p-value provided. For all three classification conditions, the combined feature set outperform each separate modality alone, with the classification accuracy for BP vs. MDD being 92.07%, BP vs. HC 80.78%, and MDD vs. HC 79.51%. Sensitivity and specificity rates share the same propensity. Moreover, functional features yielded better results than structural ones.