Hi steve, Thank you so much for your reply.Im asking about the difference between two cases:1) when I use svm in a regression system and 2) when I use svm in a classification system. Is the code of using svm in these two cases the same?This is the code for a regression system: my_svm_model <- function(myformula, mydata, mytestdata) { mymodel <- svm(myformula, data=mydata) mytest <- predict(mymodel, mytestdata) error <- mytest - mytestdata[,1] -sqrt(mean(error**2)) }Many thanks, Nancy > Date: Tue, 29 Dec 2009 10:36:36 -0500 > Subject: Re: [R] svm regression/classification > From: mailinglist.honey...@gmail.com > To: nancyada...@hotmail.com > CC: r-help@r-project.org > > Hi Nancy, > > Comments in line: > > On Sun, Dec 27, 2009 at 3:34 AM, Nancy Adam <nancyada...@hotmail.com> wrote: > > > Hi everyone, > > > > Can anyone please tell whether there is a difference between the code for > > using svm in regression and code for using svm in classification? > > > > This is my code for regression, should I change it to do classification?: > > I'm not sure how to answer your question ... are you asking how you > can explicitly tell the `svm` function to do classification vs. > regression? Or are you asking if classification is better suited for > your problem than regression? > > Are you trying to predict a label or some range of "real valued" > numbers? Can you show us your `y` vector? > > -steve > > -- > 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 _________________________________________________________________ Keep your friends updatedeven when youre not signed in.
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