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

From: Discriminative topological features reveal biological network mechanisms

 

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