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Classification accuracy comparison based on different choice of atlas in the work of Plitt et al. (2015). RF, random forests; KNN, K-nearest neighbor; L-SVM, linear support vector machine; RBF-SVM, Gaussian kernel support vector machine; GNB, Gaussian naïve Bayes; LDA, linear discriminant analysis; L1LR, L1 logistic regression; L2LR, L2 logistic regression; ENLR, elastic-net logistic regression; Average, average of the above nine methods.
