Hello, I would like to know, whether for the support vector classification function ksvm() the response values stored in [EMAIL PROTECTED] are cross validated outputs/predictions:
Example code from package kernlab, function ksvm: library(kernlab) ## train a support vector machine filter <- ksvm(type~.,data=spam,kernel="rbfdot",kpar=list(sigma=0.05),C=5,cross=3) filter [EMAIL PROTECTED] if not: what is the easiest way to obtain x-fold cross validated predicted values of the instances of a data set ? Does it have to be implemented by oneself? thanks a lot again best regards Björn ______________________________________________ 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.
