Table 1 Summary of classification results. Results of multi-class SVM: the empirical training loss <Ltr> averaged over all pairwise classifiers, the average empirical test loss <Ltst>, the average number of support vectors <Nsv>, and the winning model (with the highest number of votes from all pairwise classifiers). For the definition of robustness see Methods.