Just browsing the documentation, and searching the list came up short... I have some unbalance data and was wondering if, in a "0" v "1" classification forest, if these options might yield better predictions when the proportion of one class is low (less than 10% in a sample of 2,000 observations).
Not sure how to specify these terms... from the docs, we have: classwt: Priors of the classes. Need not add up to one. Ignored for regression. So is this something like "... classwt=c(.90,.10)" ? I didn't see the syntax demonstrated. Similar for "strata" and "sampsize" though there is a default for sampsize that makes sense... not sure how you would make "a vector of the length the number of strata", however.... Pointers? -- --------------------------------------- David L. Van Brunt, Ph.D. mailto:[EMAIL PROTECTED] [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
