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:
“A good decision is based on knowledge and not on numbers.”
—Plato (c. 427–347 B.C.)
“And out of the ground made the Lord God to grow every tree that is pleasant to the sight, and good for food: the tree of life also in the midst of the garden, and the tree of knowledge of good and evil. And a river went out of Eden to water the garden.”
—Bible: Hebrew Genesis 2:9-10.