You can get this using the caret package. There are a few package vignettes that come with the package and a JSS article
http://www.jstatsoft.org/v28/i05/paper about the package. Max On Fri, Dec 18, 2009 at 12:26 PM, bbslover <dlu...@yeah.net> wrote: > > as known, svm need tune some parameters like cost,gamma and epsilon to get > better performance,but one question appear, how can i monitor the > performance . generally speaking ,we chose the cross-validation MSE in the > training set, but It seems svm can not return the cross-validation MSE > value, we just get it from "summary model.svm", if I write a loop, have no > idear call the cros-validate MSE, and no way to monitor this performance > ,how can I do? > > > -- > View this message in context: > http://n4.nabble.com/Hello-all-How-can-I-get-corss-validation-MSE-of-SVM-in-e1071-tp974942p974942.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
