Message-ID: <3A822319EB35174CA3714066D590DCD5C4F9BB@usrymx25.merck.com>
Date: 2003-04-15T14:26:21Z
From: Liaw, Andy
Subject: rpart vs. randomForest
I just saw in the prelimenary program for JSM '03, there will be (at least)
5 talks on random forest (one from our group), two of which will address the
issue of tuning mtry, judging form the abstracts.
If I may do a bit of advertising: I was asked to organized a roundtable
luncheon at the JSM on multiple trees. I'd welcome anyone interested in
this area to come.
Cheers,
Andy
> -----Original Message-----
> From: Wiener, Matthew [mailto:matthew_wiener at merck.com]
> Sent: Tuesday, April 15, 2003 10:00 AM
> To: r-help at stat.math.ethz.ch
> Subject: RE: [R] rpart vs. randomForest
>
>
> I can echo that in data I've worked with (separate from the
> data Andy Liaw
> has worked with), fiddling with mtry doesn't make a whole lot
> of difference.
> To the extent it makes any difference at all, the default
> value tends to be
> near the optimum.
>
> Matt Wiener
>
>
> --------------------------------------------------------------
> ----------------
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>
>
> --------------------------------------------------------------
> ----------------
> Notice: This e-mail message, together with any attachments,
> contains information of Merck & Co., Inc. (Whitehouse
> Station, New Jersey, USA) that may be confidential,
> proprietary copyrighted and/or legally privileged, and is
> intended solely for the use of the individual or entity named
> in this message. If you are not the intended recipient, and
> have received this message in error, please immediately
> return this by e-mail and then delete it.
>
> ==============================================================
> ================
>
------------------------------------------------------------------------------