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. 2004 Nov 22;5:181. doi: 10.1186/1471-2105-5-181

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.

E. coli C. elegans S. cerevisiae
L tr 1.6% 0.5% 2.1%
L tst 1.6% 0.5% 1.8%
N sv 109 51 106
Winner Kumar [13] MZ [14] Sole [15]
Robustness 1.0 0.97 0.64