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Decision Tree Regression and CART Algorithm by chat665666 is a document available to read on EtoBox.

What is Decision Tree Regression and CART Algorithm about?

The document outlines the process of training a Decision Tree Regressor to predict values based on given features, detailing the steps of computing possible splits, calculating Mean Squared Error (MSE), and determining the best splits for the regression tree. It includes two examples with datasets, illustrating how splits are evaluated and the final tree structure for predictions. Additionally, it discusses the disadvantages of Decision Trees and compares the CART algorithm with ID3.

Author

chat665666

Language

EN