CHAID (Chi-squared Automatic Interaction Detection) is a decision tree technique used for classification and segmentation of data. It identifies the most significant predictor variables and their categories that differentiate groups within a dataset. It is commonly used in market research, customer relationship management, and other fields to understand relationships between categorical variables and predict outcomes.
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