Dear all, I would like to use a tree regression method to analyze my dataset. I am interested in the fact that random forests creates in-bag and out-of-bag datasets, but I also need an estimate of support for each split. That seems hard to do in random forests since each tree is grown using a subset of the predictor variables.
I was thinking of setting mtry = number of predictor variables, growing several trees, and computing the support for each node as the number of times that a certain predictor variable was chosen for that node. Can this be implemented using random forests? Thanks! Naiara. -- Naiara Pinto PhD Candidate Ecology, Evolution and Behavior University of Texas Austin ______________________________________________ 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.
