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What is CART Algorithm: Overview and Applications about?

CART (Classification and Regression Trees) is a supervised learning algorithm used for both classification and regression tasks, producing a binary decision tree. The algorithm involves recursively splitting data based on features and thresholds, evaluated through Gini impurity for classification and Mean Squared Error for regression. While CART offers advantages like interpretability and versatility, it also faces limitations such as overfitting and sensitivity to data changes.

Author

Ram Jaybhaye

Language

EN