Hi, I need help with the randomForest prediction. i run the folowing code: > iris.rf <- randomForest(Species ~ ., data=iris, > importance=TRUE,keep.forest=TRUE, proximity=TRUE) > pr<-predict(iris.rf,iris,predict.all=T) > iris.rf$votes[53,] setosa versicolor virginica 0.0000000 0.8074866 0.1925134 > table(pr$individual[53,])/500
versicolor virginica 0.928 0.072 > why the voting is not the same for the same data? what do i do wrong? another 2 questions: 1. i tries to debug another problem in which the individual vector was smaller the tree number in the forest. i noticed that in this row of code: treepred <- matrix(object$classes[t1$treepred], nrow = length(keep), dimnames = list(rn[keep], NULL)) the t1$treepred has values of 0 (i have 2 classes) and they droped from the results what does this 0 mean? 2. how can i drop a tree from the forest? Thanks, Dror -- View this message in context: http://n4.nabble.com/Random-Forest-prediction-questions-tp1573530p1573530.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.