How does CART analysis work?

CART analysis, or Classification and Regression Trees analysis, is a data mining technique used to segment a dataset into different groups based on a set of predictor variables. The algorithm works by iteratively splitting the data into subsets based on the variable that best discriminates between the groups, until a stopping criteria is met. This process creates a tree-like structure, with each node representing a decision point based on a specific variable, and each leaf representing a final prediction. CART analysis is a powerful tool for data exploration and predictive modeling, as it can handle both categorical and continuous variables, and can easily handle non-linear relationships in the data.

This mind map was published on 23 February 2024 and has been viewed 179 times.