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Finding which variables in a dataset are most “similar”, in some way, to the outcome variable of interest can be a very useful first step in understanding the dataset and planning the next steps. The R package ClustOfVar provides an implementation for this purpose in the mixedVarSim() function.
Check out the full workflow at my portfolio!
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From the page:" Random forests (RF) has become a popular technique for classification, prediction, studying variable importance, variable selection, and outlier detection. (..) Apart from the literature survey in RF area, this paper also presents results of new tests regarding variable rankings based on RF variable importance measures."
