Decision Tree Regression

Decision Tree Regression works on the principle of Decision Tree Classification except it is used for Regression Problems. Dive into the Decision Tree Regression in this lesson.

Decision Tree Regression

The idea of the Decision Tree Regression has been borrowed from Decision Tree Classification. Note that:

  • Decision Trees create a tree structure from the dataset at hand. It learns the if/else structure from the dataset.

  • We will look into the key algorithms to make a Decision Tree in the Classification section. In the case of Regression, it just returns the continuous valued output for an instance.

Implementation in Scikit learn

The DecisionTreeRegressor class is used for Decision Tree Regression.

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