Hi Andy, Thanks a lot for your answer! So what do I do if the model overfits?
Thanks a lot! On 2/28/06, Liaw, Andy <[EMAIL PROTECTED]> wrote: > > From: Michael > > > > Hi all, > > > > I am using the "svm" command in the e1071 package. > > > > Does it have an automatic way of setting the "cost" parameter? > > See ?best.svm in that package. > > > I changed a few values for the "cost" parameter but I hope there is a > > systematic way of obtaining the best "cost" value. > > > > I noticed that there is a "cross" (Cross validation) > > parameter in the "svm" > > function. > > > > But I did not see how it can be used to optimize the "cost" parameter. > > > > By the way, what does a 0 training error and a high testing > > error mean? > > Varying "cross=5", or "cross=10", etc. does not change the > > training error > > and testing error at all. How to improve? > > Overfitting, which varying different validation method will not solve. > > Andy > > > Thanks a lot! > > > > M. > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > [email protected] mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide! > > http://www.R-project.org/posting-guide.html > > > > > > > > ------------------------------------------------------------------------------ > Notice: This e-mail message, together with any attachment...{{dropped}} ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
