The last few days saw me experimenting with one particular data set and different parameters of the SVM regression model for those data. For the data set at hand, I figured epsilon, the width of the error pipe to be 0.3 and the standard deviation of the rbf kernel to be 12. Other kernels won’t work on those data and I’ll have to do a comparison of those results with the number of support vectors that are a further parameter that constitutes the models.
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