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