wikipedia
Decision trees used in data mining are of two main types:
- Classification tree analysis is when the predicted outcome is the class to which the data belongs.
- Regression tree analysis is when the predicted outcome can be considered a real number (e.g. the price of a house, or a patient’s length of stay in a hospital).
The term Classification And Regression Tree (CART) analysis is an umbrella term used to refer to both of the above procedures, first introduced by Breiman et al.[1] Trees used for regression and trees used for classification have some similarities - but also some differences, such as the procedure used to determine where to split.[1]