Table 3

Results of SVM prediction using Bayes Feature Extraction

SVM classifier

Sensitivity (%)

Specificity (%)

Accuracy (%)

AROC


P2P2-Bayes

71.00

71.00

71.00

0.78

P4P1-Bayes

79.00

74.00

76.50

0.84

P4P2-Bayes

82.00

80.00

81.00

0.89

P4P4’-Bayes

82.00

81.00

81.50

0.91

P6P6-Bayes

86.00

84.00

85.00

0.91

P8P8-Bayes

89.00

84.00

86.50

0.93

P10P10-Bayes

87.00

85.00

86.00

0.94

P14P10-Bayes

88.00

82.00

85.00

0.94


Wee et al. BMC Genomics 2011 12(Suppl 3):S11   doi:10.1186/1471-2164-12-S3-S11

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