[R] SVM question

[Georges Orlowski]

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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