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. Author manuscript; available in PMC: 2018 Apr 18.
Published in final edited form as: Neuroimage. 2017 Sep 5;170:54–67. doi: 10.1016/j.neuroimage.2017.08.068

Fig. 9. Comparison of the models’ ability to preserve the inter-individual variability as measured by sex-prediction accuracies.

Fig. 9

The individual-level parcellation schemes derived from each model are separately fed to the GBM classifier. The classification accuracies (the mean and standard deviation across all folds) for exemplar-based parcellation and Shen’s method are displayed with the numbers of networks ranging from K = 2 to K = 24, taking even values (Left). The classification accuracies for all three methods are displayed for K = 7 and K = 17 (Right).