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:
“How could a man be satisfied with a decision between such alternatives and under such circumstances? No more than he can be satisfied with his hat, which he’s chosen from among such shapes as the resources of the age offer him, wearing it at best with a resignation which is chiefly supported by comparison.”
—George Eliot [Mary Ann (or Marian)
“A tree is beautiful, but what’s more, it has a right to life; like water, the sun and the stars, it is essential. Life on earth is inconceivable without trees. Forests create climate, climate influences peoples’ character, and so on and so forth. There can be neither civilization nor happiness if forests crash down under the axe, if the climate is harsh and severe, if people are also harsh and severe.... What a terrible future!”
—Anton Pavlovich Chekhov (1860–1904)