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.
Read more about Decision Tree: General, Influence Diagram, Uses in Teaching, Advantages, Disadvantages, Example
Famous quotes containing the words decision and/or tree:
“There are many things children accept as “grown-up things” over when they have no control and for which they have no responsibility—for instance, weddings, having babies, buying houses, and driving cars. Parents who are separating really need to help their children put divorce on that grown-up list, so that children do not see themselves as the cause of their parents’ decision to live apart.”
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“Blessed is the man that walketh not in the counsel of the ungodly,
nor standeth in the way of sinners, nor sitteth in the seat of the
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But his delight is in the law of the Lord; and in his law doth he
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And he shall be like a tree planted by the rivers of water, that
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and whatsoever he doeth shall prosper.”
—Bible: Hebrew Psalm I (l. I, 1–3)