
Thank you, Andy
 
I just read a paper, and they try to compare error rate among oob, test set, and training set and throung a figure showing random forest is not overfitting.
 when error rate in the training set come to zero, and oob and test set error rate do not increase. 
 
I am just a beginner, so I need learn a lot.
 
Thank you 
 
kevin


在2010-01-12，"Liaw, Andy [via R]" <ml-node+1011366-1798256891@n4.nabble.com> 写道： -----原始邮件-----
发件人:"Liaw, Andy [via R]" <ml-node+1011366-1798256891@n4.nabble.com>
发送时间:2010年1月12日 星期二
收件人:bbslover <dluthm@yeah.net>
主题:Re: [R] Help me! using random Forest package, how to calculate Error Rates in the training set ?

From: bbslover 

> 
> now I am learining random forest and using random forest 
> package, I can get 
> the OOB error rates, and test set rate, now I want to get the 
> training set 
> error rate, how can I do? 
> 
> pgp.rf<-randomForest(x.tr,y.tr,x.ts,y.ts,ntree=1e3,keep.forest 
> =FALSE,do.trace=1e2)     
> using the code can get oob and test set error rate, if I 
> replace x.ts and 
> y.ts with x.tr and y.tr,respectively,  is the error rate in 
> the training set 
> ?   
> 
> pgp.rf<-randomForest(x.tr,y.tr,x.tr,y.tr,ntree=1e3,keep.forest 
> =FALSE,do.trace=1e2) 
> 
> this time, I get oob error rates and training set error rate, 
> is  right? 

Yes, or if you used keep.forest=TRUE, feed predict() with your x.tr and 
compare that with y.tr. 

However, I really don't understand why people compute "training error 
rate": what useful information can you get from it? 

Andy 
  

> thank you! 
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