What is Classification and Regression Tree analysis?

Classification and Regression Tree analysis, also known as CART analysis, is a data mining technique used to create a decision tree model that predicts the value of a target variable based on input variables. In classification tree analysis, the target variable is categorical, while in regression tree analysis, the target variable is continuous. CART analysis is a popular method for predictive modeling because it is easy to interpret and can handle both numerical and categorical data. The decision tree model created by CART analysis consists of nodes representing input variables, branches representing the decision rules, and leaves representing the predicted outcome.

This mind map was published on 23 February 2024 and has been viewed 124 times.