Try performing stratified sampling when doing cv. cran.r-project.org/web/packages/ipred
On Fri, Apr 15, 2011 at 11:00 AM, Soyeon Kim <yunni0...@gmail.com> wrote: > Dear R users, > > Hi. I am using prediction function in ROCR package. > y consists of two classes 0 and 1. > However, since I am using cross-validation, a sampled small number of > y may consist of only one class >>y > [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 > In this case, prediction function gives an error: > Error in prediction(predic, y) : Number of classes is not equal to 2. > ROCR currently supports only evaluation of binary classification tasks. > > How can I solve this problem? > > Thank you, > Soyeon Kim > > ______________________________________________ > 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. > ______________________________________________ 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.