Hello! Is there an implementation of the MetaCost algorithm in R? I found a project here: https://r-forge.r-project.org/scm/viewvc.php/src/mlrCost/metacost.r?root=mlr&view=log But I'm not sure about its status - it seems unfinished to me.
My goal is to use MetaCost for cost-sensitive learning of an unbalanced data set with RandomForest. I did this in Weka with good results and now want to implement the same procedure in R. If MetaCost is not available, I would also welcome suggestions how to do cost-sensitive learning with RandomForest. I am aware that you can play around with the sample size (sampsize) parameter, but this is quite a different strategy and produces quite different (and worse) results on my data. Best regards, Annelen ______________________________________________ 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.
