Can decision tree algo used for regression?

Christian_Simonis · February 4, 2023, 7:57pm

you can use decision trees for regression: sklearn.tree.DecisionTreeRegressor — scikit-learn 1.2.1 documentation

When predicting a continuous variable with a decision tree regressor, you often see this certain typical discretised output. [(Note: regarding your infinity question: you do not want to go for an arbitrary (or infinite depth) also due to the risk of overfitting!].

See here an Adaboost example which is quite nice to start and play around with:

Source

Best regards
Christian

Topic		Replies	Views
Decision Trees for Regression? Advanced Learning Algorithms week-4	7	604	September 23, 2023
Are decision trees always binary trees? Advanced Learning Algorithms week-4	1	647	February 5, 2023
Do limiting depth of decision tree prevent overfitting? Advanced Learning Algorithms week-3	4	447	December 10, 2023
Decision trees with 1 node and 1 feature: do they reduce to linear regression or logistics regression? Advanced Learning Algorithms week-4	1	282	December 18, 2023
Regression Trees ensemble Advanced Learning Algorithms week-4	3	581	January 3, 2023

Can decision tree algo used for regression?

Related topics