Have you tried the range of parameters suggested in http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf ? Please do read the posting guide to help you phrase the question better. Without showing us exactly what you did, we have no way of telling what might have gone wrong. The only information you gave us is that you tried SVM on your data and it didn't do so well. What is anyone supposed to do with that info? Andy From: 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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http://www.R-project.org/posting-guide.html ______________________________________________ R-help at 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