use (as.factor(target) ~., data =your data, ...)
On Tue, May 4, 2010 at 12:07 PM, pdb <[email protected]> wrote: > > Hi, > > I'm experimenting with random forests and want to perform a binary > classification task. > I've tried some of the sample codes in the help files and things run, but I > get a message to the effect 'you don't have very many unique values in the > target - are you sure you want to do regression?' (sorry, don't know exact > message but r is busy now so can't check). > > > In reading the help files I see 2 examples, one for classification and one > for regression. To the uninformed - these don't seem much different to each > other. How does rf know to do regression or classification? > > ## Classification: > ##data(iris) > set.seed(71) > iris.rf <- randomForest(Species ~ ., data=iris, importance=TRUE, > proximity=TRUE) > > > ## Regression: > ## data(airquality) > set.seed(131) > ozone.rf <- randomForest(Ozone ~ ., data=airquality, mtry=3, > importance=TRUE, na.action=na.omit) > > > My target variable only has 2 values - why does it want to do regression? > I've entered code just like that in the classification example above. Also > when it asks me 'are you sure you want to do regression' - how do I say > 'NO, > do classification please'? > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/randomforests-how-to-classify-tp2126166p2126166.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > [email protected] 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. > -- Sincerely, Changbin -- [[alternative HTML version deleted]] ______________________________________________ [email protected] 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.
