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(A) The mean classification accuracy for each feature set, at each training group size (TS). Error bars are the standard deviation in classification accuracy across repeats for each TS. (B) M1 vs S1 classification results for a typical subject from the leave-one-out, TS = 19 test. Accuracy scores given as the percentage of correctly classified vertices. Red corresponds to the S1 class label and blue to the M1 class label.
