I have a dataset of 14558 rows and 250 variables. I am trying to solve a classification problem thanks to r party package and the cforest function (which corresponds to a Random Forest).
I would like to obtain the value of variables importance for each tree instead of only getting the mean of the variable importance over all trees (this is what the the varimp function does).
I have in mind to do a boxplot with those variables importance value in order to evaluate the confidence of the value I have. If someone has another idea to do it, please let me know ! :)
I was thinking that it would be possible since we see it in the following paper : https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-307
I have search over this forum and the party package documentation and did not find the solution. I hope I am not opening an already existing topic !
Thanks for your help :)