Hi, On Tue, Jun 29, 2010 at 7:16 AM, Aadhithya <sistaa...@gmail.com> wrote: > > Following is the error I am getting: > Error in svm.default(train, cl) : > Need numeric dependent variable for regression.
Here's a problem that you may not even know you had yet. By the looks of your code, it seems as if you want to do classification, but the SVM is trying to do regression. You have to make sure that all of the columns in your data.frames are of the right type. If you're doing classification, change your label column to a factor. In your case, where you are explicitly passing a y vector, instead of this: R> model<- svm(train,cl); do this R> cl <- factor(cl) R> model <- svm(train, cl) Also, explicitly set the `type` argument in your call to `svm` so you are doing the right thing (ie. 'C-classifiction', 'nu-classificatino', etc). Also, be sure that there aren't any NA values in your data. > My dataset looks like this in both training and testing: If both of your datasets look the same, why are you transposing your `test` matrix when passing it to `predict` (I'm looking at the code in your original post)? -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
