Ok is there a way to do it with decision tree? I just need to make the
decision rules. Perhaps I can pick one of the trees used with Random
Forrest. I am somewhat familiar already with Random Forrest with
respective to bagging and feature sampling and getting the mode from the
leaf nodes and it being an ensemble technique of many trees. I am just
working from the perspective that I need decision rules, and I am working
backward form that, and I need to do it in R.
On Wed, Apr 13, 2016 at 4:08 PM, Bert Gunter <bgunter.4567 at gmail.com>
wrote:
> Nope.
>
> Random forests are not decision trees -- they are ensembles (forests)
> of trees. You need to go back and read up on them so you understand
> how they work. The Hastie/Tibshirani/Friedman "The Elements of
> Statistical Learning" has a nice explanation, but I'm sure there
are
> lots of good web resources, too.
>
> Cheers,
> Bert
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip
)
>
>
> On Wed, Apr 13, 2016 at 1:40 PM, Michael Artz <michaeleartz at
gmail.com>
> wrote:
> > Hi I'm trying to get the top decision rules from a decision tree.
> > Eventually I will like to do this with R and Random Forrest. There
has
> to
> > be a way to output the decsion rules of each leaf node in an easily
> > readable way. I am looking at the randomforrest and rpart packages and
I
> > dont see anything yet.
> > Mike
> >
> > [[alternative HTML version deleted]]
> >
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