CHAID, or Chi-squared Automatic Interaction Detection, is a classification method for building decision trees by using chi-square statistics to identify optimal splits. By internally discretizing or binning scale fields into ordinal categorical fields it can produce both classification and regression trees using input features of any measurement level.

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