Optimal Binning

The Optimal Binning procedure discretizes one or more scale variables (referred to as binning input variables) by distributing the values of each variable into bins. Bin formation is optimal with respect to a categorical guide variable that "supervises" the binning process. Bins can then be used instead of the original data values for further analysis in procedures that require or prefer categorical variables.

To know more, go to Base Edition> Data Preparation>Optimal Binning

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