Re: [R] Scaling in SVM

Thanks! For testing purposes this rescaling works! But unfortunately due to timing constraints I'm not able to do the rescaling of the data, so as I mentioned I have to work on with unscaled data. So I have to calculate $f(\vec x) = sum_{i \in sv} coefs_i \langle \vec x_i \cdot \vec x \rangle - \rh

Re: [R] Scaling in SVM

Hi Matthias, On Wed, Jul 13, 2011 at 5:22 AM, Meffy wrote: > Dear Community! > I'm using the svm method of package e1071 for classifying my data. This > really works fine, but however I have to work after creating the support > vectors and the parameters with unscaled data. So the problem is when

[R] Scaling in SVM

Dear Community! I'm using the svm method of package e1071 for classifying my data. This really works fine, but however I have to work after creating the support vectors and the parameters with unscaled data. So the problem is when I try to train the classifier with the option "scale=F" the result i