do it manually. divide your dataset into 10 parts then train and test accordingly. Saeed
S.O. Nyangoma wrote: > Hi > It clear that to do a classification with svm under 10-fold cross > validation one uses > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > 10) > > What corresponds to the nnet? > nnet(.....,cross=10)? > > Regards > > ______________________________________________ > R-help@stat.math.ethz.ch 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@stat.math.ethz.ch 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.
