Hi at all, maybe this question is quite simple for a statistician, but for me it is not. After reading a lot of mail in the R-help archive I`m still not quite sure I get it. When applying a randomForest to a new dataset with predict(randomForest) I have the option to get the output as probability (classification problem): predict(myrf,...,type="prob") I would like to know how I have to understand this output. Are this values the probability of an observation belonging to a predicted class? Say, I have a data-point as newdata, my rf-model predicts Class A and the probability is 0,12301. Does this mean that this data-point belongs to class A only with a probability of 12%?
Thanks for every hint. TIM Just as a matter of form: I´m using R version 2.8.1, randomForest package 4.5-28, OS: WinXP ----------------------------------------------------------------------------------- Tim Häring Bavarian State Institute of Forest Research Department of Forest Ecology Am Hochanger 11 D-85354 Freising E-Mail: tim.haer...@lwf.bayern.de http://www.lwf.bayern.de ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
