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Decision tree
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<p>A decision tree is a <a href="/facts/Decision_support_system/HPeJMlRM">decision support</a> recursive partitioning structure that uses a <a href="/facts/Tree_(graph_theory)/TCWk4Joy">tree-like</a> <a href="/facts/Causal_model/TC6UJglD">model</a> of decisions and their possible consequences, including <a href="/facts/Probability/fgYvMhwb">chance</a> event outcomes, resource costs, and <a href="/facts/Utility/wlMDG74L">utility</a>. It is one way to display an <a href="/facts/Algorithm/fnl5NmRt">algorithm</a> that only contains conditional control statements. </p><p>Decision trees are commonly used in <a href="/facts/Operations_research/H5yJkV5n">operations research</a>, specifically in <a href="/facts/Decision_analysis/J2gxEMpa">decision analysis</a>, to help identify a strategy most likely to reach a goal, but are also a popular tool in <a href="/facts/Decision_tree_learning/LbPMAwdI">machine learning</a>. </p>