A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. If in practice decisions have to be taken online with no recall under incomplete knowledge, a decision tree should be paralleled by a probability model as a best choice model or online selection model algorithm. Another use of decision trees is as a descriptive means for calculating conditional probabilities.
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Famous quotes containing the words decision and/or tree:
“You can hesitate before deciding, but not once the decision is made.”
—José Bergamín (1895–1983)
“It is, I fear, but a vain show of fulfilling the heathen precept, “Know thyself,” and too often leads to a self-estimate which will subsist in the absence of that fruit by which alone the quality of the tree is made evident.”
—George Eliot [Mary Ann (or Marian)