As long as you can remember that the summaries such as variable importance, OOB predictions, and OOB error rates are not applicable, I think that should be fine.
Andy -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Nikita Desai Sent: Wednesday, May 23, 2012 1:51 PM To: r-help@R-project.org Subject: [R] Random Forest Classification_ForestCombination Hello, I am aware of the fact that the combine() function in the Random Forest package of R is meant to combine forests built from the same training set, but is there any way to combine trees built on different training sets? Both the training datasets used contain the same variables and classes, but their sizes are different. Thanks [[alternative HTML version deleted]] ______________________________________________ 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:11}} ______________________________________________ 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.
