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List: r-help
Subject: Re: [R] seek non-black box alternative to randomForest
From: Bert Gunter <bgunter.4567 () gmail ! com>
Date: 2017-05-31 14:58:16
Message-ID: CAGxFJbQJVuFXDYexYS9S8Ot20L-7jDhmkyjp-_44+jsCUHDzMg () mail ! gmail ! com
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On Tue, May 30, 2017 at 12:11 PM, Don McKenzie <dmck@u.washington.edu> wrote:
> Though off-topic for this list, your question (complaint?) comes up a lot in \
> discussions of analytical methods, and has generated hundreds of papers (Google is \
> your friend here). You can start with
>
> https://www.quora.com/What-are-the-pros-and-cons-of-GLM-vs-Random-forest-vs-SVM \
> <https://www.quora.com/What-are-the-pros-and-cons-of-GLM-vs-Random-forest-vs-SVM>
> for some of the controversies. It looks to me as if your editor stated (poorly) \
> the problem that some models that are good at pattern-matching (RF) are less useful \
> for predicting new observations.
> Others n the list who are more erudite than I may choose to comment, amplify, or \
> refute...
... But hopefully will not, as this could quickly devolve into endless
opining that would clog up this list, as you have yourself noted.
-- Bert
>
>
> > On May 30, 2017, at 11:54 AM, Barry King <barry.king@qlx.com> wrote:
> >
> > I've recently had a research manuscript rejected by an editor. The
> > manuscript showed
> > that for a real life data set, random forest outperformed multiple linear
> > regression
> > with respect to predicting the target variable. The editor's objection was
> > that
> > random forest is a black box where the random assignment of features to
> > trees was
> > intractable. I need to find an alternative method to random forest that
> > does not
> > suffer from the black box label. Any suggestions? Would caret::treebag be
> > free of
> > random assignment of features? Your assistance is appreciated.
> >
> > --
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > 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.
>
>
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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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