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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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