On Tue, May 30, 2017 at 12:11 PM, Don McKenzie <d...@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.k...@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]] >> >> ______________________________________________ >> 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 > 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.
