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