Table 1

Performance evaluation of RPISeq

Dataset

Classifier

Accuracy %

Precision

Recall

F-measure

RPI2241

Random Forest

89.6

0.89

0.90

0.90

RPI2241

SVM

87.1

0.87

0.88

0.87

RPI369

Random Forest

76.2

0.75

0.78

0.77

RPI369

SVM

72.8

0.73

0.73

0.73

Results of 10-fold cross-validation experiments using RPI2241 and RPI369 datasets.

See Methods for definitions of performance measures.

Muppirala et al. BMC Bioinformatics 2011 12:489   doi:10.1186/1471-2105-12-489