[R] feature weighting in randomForest

[Moshe Olshansky]

Hi Tim,

As far as I know you can not weigh predictors (and I believe that you really should not). You may weigh classes (and, in a sense, cases), but this is an entirely different issue.

--- On Wed, 5/8/09, "Häring, Tim (LWF)" <Tim.Haering at lwf.bayern.de> wrote:

> From: "Häring, Tim (LWF)" <Tim.Haering at lwf.bayern.de>
> Subject: [R] feature weighting in randomForest
> To: r-help at r-project.org
> Received: Wednesday, 5 August, 2009, 5:59 PM
> Hello !
> 
> I´m using randomForest for classifacation problems. My
> dataset has 21.000 observations and 96 predictors. I know
> that some predictors of my dataset have more influence to
> classify my data than others.
> Therefore I would like to know if there is a way to weight
> my predictors. I know that for constructing each tree in a
> forest the most influencial predictor is used for
> partitioning the data. But maybe it would have an effect if
> I weight my predictors. 
> 
> Thanks in advance
> 
> TIM
> 
> -----------------------------------------------------------------------------------
> 
> Tim Haering
> Bavarian State Institute of Forest Research 
> Department of Forest Ecology
> Am Hochanger 11
> D-85354 Freising
> 
> http://www.lwf.bayern.de
> 
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