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Feature ranks and classification accuracy in lesion-NAWM analysis. Top panel: The mean (standard deviation) rankings of the 11 diffusion features based on the linear recursive feature elimination (RFE) algorithm in SVM. Bottom panel: Accuracy of the classification models (SVM-IC) obtained by adding features one at a time, starting from the highest to the lowest rankings. The stars indicate features that contribute to significant improvement in classification accuracy (****p < 0.0001).
