Which is not a purpose of running classification and regression trees (CART)?
A) To remove nodes that do not produce additional information
B) To simplify and reduce complexity
C) To identify the most diverse case set for the target variable
D) To reduce the chances of overfitting

Question

Quizplus · Accepted Answer

CART is primarily used for decision making by splitting data into subsets, which improves prediction accuracy and helps in understanding the data features that contribute to the outcome. It does not aim to identify the most diverse case set for the target variable, but rather to create a model that can accurately classify or predict outcomes for new data. Options A, B, and D are all purposes of running CART, as they relate to improving the model's performance and interpretability.

Which Is Not a Purpose of Running Classification and Regression