Better late than never, I suppose: The second column is simply the first column divided by the variance of the response that have been OOB up to that point (20 trees), times 100.
Best, Andy From: David Katz > > The verbose option gives a display like: > > > rf.500 <- > + randomForest(new.x,trn.y,do.trace=20,ntree=100,nodesize=500, > + importance=T) > | Out-of-bag | > Tree | MSE %Var(y) | > 20 | 0.9279 100.84 | > > > What is the meaning of %var(y)>100%? I expected that to > correspond to a > model that was worse than random, but the predictions seem > much better than > that on the o-o-bag estimates from predict(rf.500). > -- > View this message in context: > http://www.nabble.com/Random-Forest--var%28y%29-tp18295412p182 95412.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:12}} ______________________________________________ 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.
