title: Should I need to normalize (or scale) the data for Random forest (drf) or Gradient Boosting Machine (GBM) in H2O or in general?
body: <p>I am creating a classification and regression models using Random forest (DRF) and GBM in H2O.ai. I believe that I don't need to normalize (or scale) the data as it's un-neccessary rather more harmful as it might smooth out the nonlinear nature of the model. Could you please confirm if my understanding is correct.</p>