You get a model that enables you to predict future outcomes. Nice examples are available here: http://www.statmethods.net/advstats/cart.html
----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- 2010/10/22 Fátima Caituiro-Monge <fati...@gmail.com> > Hi, I have seen that R has a implementation of decision trees; however, > after I have the tree with the classification: > > R Quinlan's trivial example of the "golf" decision tree. > > Outlook Temperature Humidity Windy PlayDontPlay 1 sunny 85 85 false > DontPlay > 2 sunny 80 90 true DontPlay > 3 overcast 83 78 false Play > 4 rain 70 96 false Play > > ... > > What's next? I mean, what is this information used for? or the goal is just > to get this classification. > > I hope someone can help me and explain me, > > Thank you. > > > Fátima > > [[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. > > [[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.
