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Table 2 10-fold cross-validation resultsa of the SVM with different kernel functions

From: Prediction of potential drug targets based on simple sequence properties

Kernel function

Sensitivity

Specificity

Accuracy

SVM-Linear

84.03 ± 0.74

74.90 ± 1.47

79.46 ± 0.87

SVM-Polynomial

84.56 ± 1.06

76.38 ± 2.14

80.47 ± 0.87

SVM-RBF

85.91 ± 2.60

80.54 ± 2.64

83.22 ± 1.76

  1. a SVMs with different kernel functions were trained with training set (1).
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BMC Bioinformatics

ISSN: 1471-2105

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