You get a model that enables you to predict future outcomes.

Nice examples are available here:
http://www.statmethods.net/advstats/cart.html



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2010/10/22 Fátima Caituiro-Monge <fatimac@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
>
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>
>
> ______________________________________________
> 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.
>
>

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