Binning categorizes an attribute’s numeric (or categorical) values into reduced set of classes
Makes analysis more convenient
For example, number of Day Minutes could be binned into “Low”, “Medium”, and “High” categories
For example, State values may be binned into regions
California, Oregon, Washington, Alaska, and Hawaii are categorized as “Pacific”
Binning defined as both data preparation and data exploration activity
Various strategies exist for binning numeric variables
One approach equalizes number of records in each class
Another partitions values into groups, with respect to target