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The distribution of accuracies generated from 1000 iterations with SVM for the winning combination of features (ASF1, ASF2, and ASF3) vs. random permutation of the categories in the training portion. In the random permutation, the corresponding category labels were flipped randomly to incorrectly train SVM with the wrong information. This procedure is similar to “set-level interference” used in functional brain imaging (Friston et al., 1996), as described in the text.
