Check this thread: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/40898.html
On 7/21/06, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > Hello all, > I am currently working with rpart to classify vegetation types by spectral > characteristics, and am comming up with poor classifications based on the fact > that I have some vegetation types that have only 15 observations, while others > have over 100. I have attempted to supply prior weights to the dataset, though > this does not improve the classification greatly. Could anyone supply some > hints about how to improve a classification for a badly unbalanced datase? > > Thank you, > Helen Mills Poulos > > ______________________________________________ > [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. > ______________________________________________ [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.
