Re: [R] SVM question

From: Georges Orlowski <orlowski_at_ebgm.jussieu.fr>
Date: Wed 01 Feb 2006 - 20:24:45 EST

Well, I know there must be something wrong with the way I'm running the SVM but I tried all the posiible ranges of parameters gamma and cost and it does not improve? Could You suggest anything?

On Wed, 1 Feb 2006, Uwe Ligges wrote:

> Georges Orlowski wrote:
>
> > I'm running SVM from e1071 package on a data with ~150 columns (variables)
> > and 50000 lines of data (it takes a bit of time) for radial kernel for
> > different gamma and cost values.
> >
> > I get a very large models with at least
> > 30000 vectors and the prediction I get is not the best one. What does it
> > mean and what could I do to ameliorate my model ?
>
> Do you mean 30000 *support vectors* in 50000 observations? So you are
> heavily overfitting. Try to tune the svm better.>
> Uwe Ligges
>
>
> >
> > Jerzy Orlowski
> >
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>



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Wed Feb 01 20:31:47 2006

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