[R] SVM question

[Uwe Ligges]

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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