There is a binary classification model built where there is grouping of continuous variables into arbitrary ranges which I am told is to include a good number of outliers in the data set. How do I prove the ill-effects of binning to non-technical colleagues ? Preferably through some plots and graphs to show that it impacts classification (without having to re-build the model)


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