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Classification accuracy as a function of the number of intensifications, for every subject, and for all considered classifiers: Bayesian linear discriminant analysis (BLDA), Fisher's linear discriminant analysis (LDA), stepwise linear discriminant analysis (SWLDA), a method based on feature extraction (FE), linear support vector machine (SVM), multilayer perceptron (NN), and Gaussian kernel support vector machine (nSVM).
