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.honey...@gmail.com > To: amy_4_5...@hotmail.com > CC: r-help@r-project.org > > Hi, > > On Fri, Feb 12, 2010 at 3:00 PM, Amy Hessen <amy_4_5...@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 _________________________________________________________________ Link all your email accounts and social updates with Hotmail. Find out now [[alternative HTML version deleted]] ______________________________________________ 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.