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! -- View this message in context: http://n4.nabble.com/Help-me-using-random-Forest-package-how-t o-calculate-Error-Rates-in-the-training-set-tp1010987p1010987.html Sent from the R help mailing list archive at Nabble.com.
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