The objects functions for kernel methods are unrelated to the area under the ROC curve. However, you can try to choose the cost and kernel parameters to maximize the ROC AUC.
See the caret package, specifically the train function. Max On Mon, Feb 21, 2011 at 5:34 PM, Angel Russo <angerusso1...@gmail.com> wrote: > *Hi, > > *Does anyone know how can I show an *ROC curve for R-SVM*? I understand in > R-SVM we are not optimizing over SVM cost parameter. Any example ROC for > R-SVM code or guidance can be really useful. > > Thanks, Angel. > > [[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. > -- Max ______________________________________________ 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.