[R] Is there an ID3 implementation in R?

[Christian Schulz]

Yes with: make_Weka_classifier(name, class = NULL, handlers = list(), 
init = NULL)
HTH, Christian


> Hi Wensui,
>
> When I looked at their docs:
> http://cran.r-project.org/web/packages/RWeka/RWeka.pdf
> It appeared they only have a connection to:
> J48
> LMT
> M5P
> DecisionStump
>
> Is it possible to connect it to:
> http://www.cs.tufts.edu/~ablumer/weka/doc/weka.classifiers.Id3.html
>
> If so, how?
>
> Thanks.
>
>
>
>
> ----------------Contact
> Details:-------------------------------------------------------
> Contact me: Tal.Galili at gmail.com |
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> www.r-statistics.com (English)
> ----------------------------------------------------------------------------------------------
>
>
>
> On Tue, Sep 2, 2014 at 6:13 PM, Wensui Liu <liuwensui at gmail.com> wrote:
>
>> Rweka
>> On Sep 2, 2014 11:04 AM, "Tal Galili" <tal.galili at gmail.com> wrote:
>>
>>> Dear R help mailing list,
>>>
>>> I am looking for an ID3 implementation in R. I know that there are many
>>> other decision tree algorithms already implemented (via rpart, tree,
>>> caret,
>>> C50, etc., etc.), but for research purposes I would like to reproduce the
>>> result of running ID3.
>>>
>>> I was not able to find such an implementation when searching in any of the
>>> following:
>>> http://rseek.org/
>>> http://finzi.psych.upenn.edu/search.html
>>> http://cran.r-project.org/web/views/MachineLearning.html
>>>
>>> Any suggestions?
>>>
>>> Thanks,
>>> Tal
>>>
>>>
>>> ----------------Contact
>>> Details:-------------------------------------------------------
>>> Contact me: Tal.Galili at gmail.com |
>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
>>> www.r-statistics.com (English)
>>>
>>> ----------------------------------------------------------------------------------------------
>>>
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>>>
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>
> ______________________________________________
> 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.
>