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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