CART or Classification and Regression Trees are the modern nomenclature for decisions trees. Decision trees are a cornerstone in predictive modelling machine learning.
A more advanced form is random forest trees and boosted decision trees.
The representation of a CART is a binary tree. Each node (also called leaf) has a single input and two outputs. A learned binary tree will partition the input space in different chunks (classifications).