Fig 3. Classification accuracies for each combination of algorithm and feature type applied to the healthy vs. schizophrenia classification.

Mean accuracy for the 10 test samples (in green), approximate 95% confidence interval for the mean accuracy (in blue) and highest and lowest accuracy values (in red) are shown for each combination. Rid: Ridge regression, Las: Lasso regression, Ela: Elastic net regularization, L0: L0-norm regularization, SVC: Support vector classifier, RDA: Regularized discriminant analysis, GPC: Gaussian process classifier, RF: Random forest.