Hello ! I´m using randomForest for classifacation problems. My dataset has 21.000 observations and 96 predictors. I know that some predictors of my dataset have more influence to classify my data than others. Therefore I would like to know if there is a way to weight my predictors. I know that for constructing each tree in a forest the most influencial predictor is used for partitioning the data. But maybe it would have an effect if I weight my predictors.
Thanks in advance TIM ----------------------------------------------------------------------------------- Tim Haering Bavarian State Institute of Forest Research Department of Forest Ecology Am Hochanger 11 D-85354 Freising http://www.lwf.bayern.de ______________________________________________ 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.
