Classification and Regression Trees. A decision tree technique used for classification of a dataset.
Provides a set of rules that you can apply to a new (unclassified) dataset to predict which records will have a given outcome.
Segments a dataset by creating 2-way splits. Requires less data preparation than CHAID.
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