
Hi
Thank you very much for your reply.
 
I meant I got different RMSE with different runs to the same program without any change for the dataset or the parameters of SVM.
 
This is my code:
 
library(e1071)
readingmydata <- as.matrix(read.delim("mydataset.txt"))
train.x <- readingmydata[,-1]
train.y <- readingmydata[,1]
 
mymodel <- svm(train.x, train.y, cross=10)
summary(mymodel)
 
can you please tell me how I can fix that error?
 
Cheers,
Amy

 
> Date: Tue, 16 Feb 2010 10:33:19 -0500
> Subject: Re: [R] svm and RMSE
> From: mailinglist.honeypot@gmail.com
> To: amy_4_5_84@hotmail.com
> CC: r-help@r-project.org
> 
> Hi,
> 
> On Fri, Feb 12, 2010 at 3:00 PM, Amy Hessen <amy_4_5_84@hotmail.com> wrote:
> >
> > Hi,
> > Every time I run a svm regression program, I got different RMSE value.
> > Could you please tell me what the reason for that?
> 
> Sorry, your question is a bit vague.
> 
> Can you provide an example/code that shows this behavior? Is the
> different RMSE over different folds of cross validation. Over the same
> data? With the same parameters? Is the RMSE significantly different?
> 
> Providing an example that shows this behavior would help.
> 
> Thanks,
> -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
 		 	   		  
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