Classification and Regression Trees (CART)

Classification and Regression Trees (CART) are a type of decision-making tool that uses a tree-like structure to predict outcomes based on data. It splits data into groups based on specific questions about the features, such as "Is age over 30?" for classification or "What is the value?" for regression. Each split narrows down options until a final prediction is made, like identifying a category or estimating a number. CART is widely used because it’s intuitive, handles different types of data, and provides clear, visual decision paths.