try to transform the attributes that have more than 32 levels into dummy binary variables.
2010/11/10 Mai Dang <mdmin...@gmail.com>: > I received this error > Error in randomForest.default(m, y, ...) : > Can not handle categorical predictors with more than 32 categories. > > using below code > > library(randomForest) > library(MASS) > memory.limit(size=12999) > x <- read.csv("D:/train_store_title_view.csv", header=TRUE) > x <- na.omit(x) > set.seed(131) > sales.rf <- randomForest(sales ~ ., data=x, mtry=3, > importance=TRUE) > > My machine (i7) running on 64 bit R with 12 gigs of RAM. > > Would anyone know how to avoid this error ? > Thank You for your reply, > > Mai Dang > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.