CART (Classification and Regression Trees) uses binary recursive partitioning methods to explore and analyze data.

CART subsets data into groups to find meaningful relationships and interactions. Successive grouping and classification builds hierarchy levels for your data.

By proving meaningful insights into datasets, CART allows the user to make more informed and profitable decisions.

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