Question

Which statement correctly describes the use of regression and classification trees based on the nature of the dependent variable?

• A. Regression trees are suitable for continuous dependent variables, while classification trees are suitable for categorical dependent variables.
• B. Classification trees are suitable for continuous dependent variables, while regression trees are suitable for categorical dependent variables.
• C. Both regression and classification trees are suitable for continuous dependent variables.
• D. Both regression and classification trees are suitable for categorical dependent variables.

Hint:

Regression trees = continuous output; Classification trees = categorical output.

Answer 1

The Correct Option is A

Decision tree algorithms are applicable to both regression and classification. Regression trees are employed when the target variable is continuous, such as forecasting house prices or temperature. Classification trees are utilized when the target variable is categorical, like determining if an email is spam. Consequently, option (A) accurately aligns regression with continuous outputs and classification with categorical outputs. Options (B), (C), and (D) incorrectly associate dependent variable types or fail to accurately delineate use cases. Therefore, option (A) is the correct choice.