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:
“Our decision about energy will test the character of the American people and the ability of the President and the Congress to govern this nation. This difficult effort will be the “moral equivalent of war,” except that we will be uniting our efforts to build and not to destroy.”
—Jimmy Carter (James Earl Carter, Jr.)
“Either make the tree good, and its fruit good; or make the tree bad, and its fruit bad; for the tree is known by its fruit.”
—Bible: New Testament, Matthew 12:33.