library(randomForest) data(iris) fit <- randomForest(Species ~ ., data=iris, importance=TRUE); fit.imp<-importance(fit) fit.imp
columns 1-3 of fit.imp show the class-specific variable importance for the Mean Decrease Acuracy measure (MDA). Is there a way to calculate class-specific Gini metrics rather than the default class-specific MDA? Simply setting "importance(fit, type=2)" doesn't do it. I really want to do calculate these metrics. I was about to start trying to code a way to do it, but thought I would ask here first. Many thanks for any help or pointers--I hope I missed something simple. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.