From: bbslover > > now I am learining random forest and using random forest > package, I can get > the OOB error rates, and test set rate, now I want to get the > training set > error rate, how can I do? > > pgp.rf<-randomForest(x.tr,y.tr,x.ts,y.ts,ntree=1e3,keep.forest > =FALSE,do.trace=1e2) > using the code can get oob and test set error rate, if I > replace x.ts and > y.ts with x.tr and y.tr,respectively, is the error rate in > the training set > ? > > pgp.rf<-randomForest(x.tr,y.tr,x.tr,y.tr,ntree=1e3,keep.forest > =FALSE,do.trace=1e2) > > this time, I get oob error rates and training set error rate, > is right?
Yes, or if you used keep.forest=TRUE, feed predict() with your x.tr and compare that with y.tr. However, I really don't understand why people compute "training error rate": what useful information can you get from it? Andy > thank you! > -- > View this message in context: > http://n4.nabble.com/Help-me-using-random-Forest-package-how-t > o-calculate-Error-Rates-in-the-training-set-tp1010987p1010987.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. > Notice: This e-mail message, together with any attachme...{{dropped:10}} ______________________________________________ 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.