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: helen.mills at yale.edu
> 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
>
> ______________________________________________
> R-help at 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:15}}