CART (Classification And Regression Tree) in Machine Learning - GeeksforGeeks

CART( Classification And Regression Tree) is a variation of the decision tree algorithm. It can handle both classification and regression tasks. Scikit-Learn uses the Classification And Regression Tree (CART) algorithm to train Decision Trees (also called "growing" trees). CART was first produced by Leo Breiman, Jerome Friedman, Richard Olshen, and Charles Stone in 1984. CART is a predictive algorithm used in Machine learning and it explains how the target variable's values can be predicted based on other matters.