Decision tree
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This article is about decision trees in decision analysis. For the use of the term in machine learning, see Decision tree learning.
A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.
Decision trees are commonly used in operations research, specifically in decision analysis,[1] to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning.