Dear List,

 

I´m working on a classification problem. My response has 60 levels.

I`m very interested in boosted trees like AdaBoost or  gradient boosting machine as implemented in the package "gbm". Unfortunately gbm is only applicable for 2-class problems.

Is anybody out there who can help me? Is there a way to use gbm() for multi-class problems? Maybe there is a way to transform my dataset in 60 datasets with binary response to make a one-against-all classification but I didn`t find anything on the R-project homepage or in Google.

 

Thanks for every help.

 

TIM

 

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Tim Häring

Bavarian State Institute of Forest Research 

Department of Forest Ecology

Am Hochanger 11

D-85354 Freising



E-Mail: tim.haering@lwf.bayern.de

http://www.lwf.bayern.de




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