Hello, In Breiman papers on random forests 4 variable importance measures are described. as far as I can tell only two are available in the random forest R package. reduction in accuracy when the variable is permuted, and the mean decrease in the gini index due to the variable (no permutation). is this gini measure computed on the training set or the OOB cases?. in any event, Breiman actually seems to prefer a different measure based on average lowering of margin across all cases when the variable is permuted. is there any way to get this 'margin-based' variable importance measure from the result returned by the randomForest function? or do I have to use the original Breiman code to get access to this measure? I am using randomForest package release 4.3 many thanks Murad Nayal