R help - Sep 2009 - Boost in R

Hello,
does any one know how to interpret this output in R?
> Classification with logitboost
> fit <- logitboost(xlearn, ylearn, xtest, presel=50, mfinal=20)
> summarize(fit, ytest)
Minimal mcr:   0 achieved after 6 boosting step(s)
Fixed mcr:     0 achieved after 20 boosting step(s)

What is "mcr" mean?

Thanks

	[[alternative HTML version deleted]]

Hi,

On Sep 15, 2009, at 8:07 AM, MERAL YAY wrote:
> Hello,
> does any one know how to interpret this output in R?
>
>> Classification with logitboost
>> fit <- logitboost(xlearn, ylearn, xtest, presel=50, mfinal=20)
>> summarize(fit, ytest)
> Minimal mcr:   0 achieved after 6 boosting step(s)
> Fixed mcr:     0 achieved after 20 boosting step(s)
>
> What is "mcr" mean?
Third link down:

http://www.google.com/search?hl=en&q=logitboost+mcr&spell=1

Looks like MCR == misclassification rate?


-steve

--
Steve Lianoglou
Graduate Student: Computational Systems Biology
   |  Memorial Sloan-Kettering Cancer Center
   |  Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact