Classification and Regression Trees

Good piece about a favorite method, in part because its results and methods are easy to explain.  Used it many times in the enterprise, even developed semi automated similar methods.

Classification and Regression Trees in DSC by Packt

Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience in architecting and engineering distributed, scalable, high-performance, and secure solutions used to combat serious organized crime, cybercrime, and fraud.

Although both linear regression models allow and logistic regression models allow us to predict a categorical outcome, both of these models assume a linear relationship between variables. Classification and Regression Trees (CART) overcome this problem by generating Decision Trees. These decision trees can then be traversed to come to a final decision, where the outcome can either be numerical (regression trees) or categorical (classification trees). A simple classification tree used by a mortgage lender is illustrated in the following diagram:  .... "