I have read that tree-based model such that Decision Tree, RsndomForests, Xgboost, etc do not require the standardization of data before feeding it to model but when I was working on working on Machine learning problem I got a better result when I use standardization on data using RandomForest, which is strange. Will you please share your experience on this topic and what results you got.


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