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What is Decision Tree Regression Explained about?

The document explains the process of using decision trees for regression to predict continuous numerical outputs based on input features. It outlines steps including data preparation, choosing splitting criteria, building the tree, defining stopping criteria, and making predictions, with an example of predicting engine efficiency at a specific temperature. The document also details the iterative process of splitting the data and refining predictions based on variance reduction.

Author

YASH WANKHEDE

Language

EN