Hi, The work around this is to use printRandomForests function in Rattle package. It outputs the forest in the form of rules.
For ex: #Load libraries library(rattle) library(randomForest) #Load sample data data(iris) #Build a forest iris.rf <- randomForest(Species ~ ., data=iris, importance=TRUE,keep.forest=T, ntree=5, do.trace=T) iris.rf #send rules in above forest to a textfile sink(file = "rfrules.txt", append = FALSE, type = "output") printRandomForests(iris.rf) sink() After getting the rules in to a text file, and because the text is structured, you can use the language of your choice to transform the rules in to a format you need. -- View this message in context: http://r.789695.n4.nabble.com/randomForest2Rules-tp3822530p4423956.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.
