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Table 5 SVM-based prediction performances for four different types of prediction methods using equal positive and negative instances

From: Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information

Prediction Binary approach PSSM approach
  Sensitivity Specificity Accuracy MCC Sensitivity Specificity Accuracy MCC
VIRs 65.98 ± 0.85 65.85 ± 0.52 65.91 ± 0.60 0.32 ± 0.01 75.80 ± 0.35 77.07 ± 0.69 76.43 ± 0.47 0.53 ± 0.01
VAIRs 62.09 ± 2.01 61.87 ± 2.92 61.99 ± 1.30 0.24 ± 0.03 73.25 ± 2.43 73.83 ± 0.95 73.54 ± 1.47 0.47 ± 0.03
VBIRs 68.55 ± 0.75 68.37 ± 0.83 68.47 ± 0.44 0.37 ± 0.01 80.08 ± 0.61 82.49 ± 0.79 81.29 ± 0.23 0.63 ± 0.01
PLPIRs 76.74 ± 1.73 74.91 ± 1.42 75.82 ± 1.32 0.52 ± 0.03 89.85 ± 0.87 89.85 ± 1.16 89.84 ± 0.70 0.80 ± 0.01
  1. The values of standard errors are also given with performances.
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BMC Bioinformatics

ISSN: 1471-2105

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