Several ways: 1. Read ?randomForest, especially the `Value' section. 2. Look at str(myforest.rf). 3. Look at print.randomForest.
If the forest has 100 trees, then the mse and rsq are vectors with 100 elements each, the i-th element being the mse (or rsq) of the forest consisting of the first i trees. So the last element is the mse (or rsq) of the whole forest. HTH, Andy > From: David L. Van Brunt, Ph.D. > > I'm almost embarrassed to ask... Almost! > > I've typed "names(myforest.rf)" to see that lots of > interesting info can be > called out bit by bit... > > But I can't seem to figure out how to just grab one or two > the summary stats > so I can save it out into a table alongside the prediction > for the new data. > > Specifically, though I see "rsq" for all the trees, and ditto > for "mse", > (here's the embarrassing part) how do I just save the mse or > % Var for the > whole forest? I really can't find it, not for lack of > looking. Just clearly > not in the right place! > > Or do I need to calculate it somehow? > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
