This is a well-known limitation. You have to group categorical attributes together to work around.
-------------------------------------------------------------------------------------- Weifeng (aaron) liu | retail systems pricing | sr research scientist -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Kelly Cool Sent: Tuesday, May 29, 2012 7:47 AM To: r-help@r-project.org Subject: [R] Question about random Forest function in R Hello, I am trying to run the random Forest function on a data.frame using the following code.. myrf <- randomForest (y=sample_data_metal, x=Train, importance=TRUE, proximity=TRUE) However, an error occurs saying, "can not handle categorical predictors with more than 32 categories". My "x=Train" data.frame is quite large and my "y=sample_data_metal" is one column. I'm not sure how to go about fixing this error or if there is even a way to get around this error. Thanks in advance for any help. [[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.
