Re: [R] SVM question

From: Uwe Ligges <ligges_at_statistik.uni-dortmund.de>
Date: Wed 01 Feb 2006 - 18:54:12 EST

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 18:59:05 2006

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