Randomization accuracies. Support Vector Machine classification accuracies of the Wang et al. breast cancer dataset. The data was randomized a hundred times for fixed target space dimensions two (left) and three (center) and for dimensions estimated by loo-cv (right). In the last case, the plot also shows the results for the original high-dimensional data without reduction. Especially in two and three dimensions, all nonlinear methods are superior to PCA.