Nagu wrote: > Hi, > > I am using randomForests for a classification problem. The predict > function in the randomForest library, when asked to return the > probabilities, has precision of two digits after the decimal. I need > at least four digits of precision for the predicted probabilities. How > do I achieve this?
For me it gives the desired precision, adapting the ?predict.randomForest example: data(iris) set.seed(111) ind <- sample(2, nrow(iris), replace = TRUE, prob=c(0.8, 0.2)) iris.rf <- randomForest(Species ~ ., data=iris[ind == 1,], ntree = 2000) iris.pred <- predict(iris.rf, iris[ind == 2,], type = "prob") iris.pred Maybe you do not have much more than 1000 trees in your bag? Uwe Ligges > > Thank you, > Nagu > > ______________________________________________ > 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. ______________________________________________ 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.
