Additional file 2.

Classification results for our own data. Cross-validation results for 43 classification methods available in the Weka software. Each method was evaluated using leave-one-out cross-validation (46 testing and training cycles per method, with one sample left out for testing in each run). In general, non-symbolic methods which use values from all genes for the classification performed better than symbolic methods which attempt to single out a subset of genes on which to base the classification. The best-performing classifier VFI (Voting Features Interval) only misclassified two samples in the cross-validation.

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Karlsson et al. BMC Cancer 2008 8:254   doi:10.1186/1471-2407-8-254