Here is an interesting related paper that gives some good pointers for testing (and an alternative related approach)
http://www-stat.wharton.upenn.edu/~edgeorge/Research_papers/*BART* %206--06.pdf<http://www-stat.wharton.upenn.edu/%7Eedgeorge/Research_papers/BART%206--06.pdf> or http://www-stat.wharton.upenn.edu/~edgeorge/Research_papers/*BART* %20June%2008.pdf<http://www-stat.wharton.upenn.edu/%7Eedgeorge/Research_papers/BART%20June%2008.pdf> (these seem to be versions of the same paper). On Sun, Mar 15, 2009 at 1:53 AM, deneche abdelhakim <a_dene...@yahoo.fr>wrote: > > I added a page to the wiki that describes how to build a random forest and > how to use it to classify new cases. > > http://cwiki.apache.org/confluence/display/MAHOUT/Random+Forests > > > > > > -- Ted Dunning, CTO DeepDyve 111 West Evelyn Ave. Ste. 202 Sunnyvale, CA 94086 www.deepdyve.com 408-773-0110 ext. 738 858-414-0013 (m) 408-773-0220 (fax)
