Re: [R] svm and RMSE

ince they are samples "at random". If you want to get the exactly same results, use a seed for the random number generator such as: set.seed(123) mymodel<- svm(train.x, train.y, cross=10) summary(mymodel) Uwe Ligges Cheers, Amy Date: Tue, 16 Feb 2010 10:33:19 -0

Re: [R] svm and RMSE

eadingmydata[,-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 &g

Re: [R] svm and RMSE

Hi, On Fri, Feb 12, 2010 at 3:00 PM, Amy Hessen 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 diff

[R] svm and RMSE

Hi, Every time I run a svm regression program, I got different RMSE value. Could you please tell me what the reason for that? Cheers, Amy _ If it exists, you'll find it on SEEK. Australia