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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
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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