Research Article
Relevance Vector Machine Based Analyses of MRR and SR of Electrodischarge Machining Designed by Response Surface Methodology
Table 6
Regression test error for different kernel functions.
| Noise factor = 0.1, number of iterations = 100 | Kernel functions | Regression test error for MRR | Regression test error for SR |
| Gaussian kernel | 0.083636 | 0.079863 | Laplace kernel | 0.077997 | 0.074544 | Linear spline kernel | 0.088783 | 0.078388 | Cubic kernel | 0.070611 | 0.066244 | Distance kernel | 0.129122 | 0.103465 | Thin-plate spline | 0.086694 | 0.075625 | Neighborhood indication | 0.257006 | 0.220205 |
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