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What is CART Construction in Machine Learning about?

Classification and Regression Tree (CART) construction is a key machine learning technique for solving classification and regression problems through hierarchical decision trees. The process involves recursively partitioning the feature space to create a model that is interpretable and effective, with applications across various industries such as finance, healthcare, and marketing. CART is robust to noise, handles both numerical and categorical data, and provides explicit rules for decision-making.

Author

arpithanj13

Language

EN