Message-ID: <43E06924.3090705@statistik.uni-dortmund.de>
Date: 2006-02-01T07:54:12Z
From: Uwe Ligges
Subject: SVM question
In-Reply-To: <Pine.LNX.4.58.0601312031200.10519@bach.ebgm.jussieu.fr>
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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