Graphing: Not really. You might do somw work and get Rgraphviz to produce the tree, but I'm not sure how useful that is.
Interpretation: You can read the tree just like any other decision trees. However, remember that the splits are chosen with some randomness, so I'm not sure how much trust I would place on any particular tree. Breiman did not design random forests so that the trees can be interpreted the usual way. Andy From: [EMAIL PROTECTED] > All, > What purpose does the getTree function have in Random Forest? > Can you graph it > as you can in rpart and can it be interpreted in the same way? > > Helen Mills Poulos > Yale School of Forestry > > ______________________________________________ > [email protected] 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:15}} ______________________________________________ [email protected] 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.
