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Table 2 The performance of support vector machine models with four kernel functions for the Classification I and Classification II

From: Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes

Model Area under the curve
  Linear Polynomial Radial basis function Sigmoid
Classification Scheme I* 0.8332 0.7655 0.8347** 0.8341
Classification Scheme II* 0.7318* 0.6673 0.7259 0.7273
  1. * see Table 1 for the definitions of Classification Schemes I and II
  2. **Best performance