Figure 7
Projection of training data and classification boundaries. The data has been rotated such that the \(s_{1}\) coordinate lines up with the learned normal vector of the separating hyperplane. Incorrectly classified data are plotted in red. The faint blue (red) lines visualize the evolution of the classifier boundary during training (testing).