Table 4

Area under ROC (AUC) for feature selections and classifiers

Feature selection

SVM

Naïve Bayes

Logistic regression


PPI

0.767

0.758

0.773


GO

0.830

0.824

0.806


Pfam

0.706

0.697

0.703


Sequence (gene + protein length)

0.592

0.619

0.618


Conservation (Ka + Ka/Ks)

0.580

0.571

0.591


GO + Pfam

0.848

0.826

0.826


GO + Pfam + Sequence

0.858

0.829

0.831


GO + Pfam + Conservation

0.850

0.826

0.828


GO + Pfam + Sequence + Conservation

0.860

0.829

0.837


PPI + GO + Pfam

0.884

0.843

0.858


PPI + GO + Pfam + Sequence

0.892

0.846

0.859


PPI + GO + Pfam + Conservation

0.886

0.843

0.859


PPI + GO + Pfam + Sequence + Conservation

0.896

0.846

0.861


Li et al. BMC Medical Genomics 2009 2:61   doi:10.1186/1755-8794-2-61

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