Decision tree flowchart

This example was designed on the base of Wikimedia Commons file: Decision tree using flow chart symbols.jpg.
"This is a decision tree that is written using flow chart symbols."
[commons.wikimedia.org/ wiki/ File:Decision_ tree_ using_ flow_ chart_ symbols.jpg]
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license. [creativecommons.org/ licenses/ by-sa/ 3.0/ deed.en]
"A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent classification rules." [Decision tree. Wikipedia]
The diagram example "Decision tree flowchart" was designed using ConceptDraw software extended with Decision Making solution from Management area of ConceptDraw Solution Park.

This marketing diagram sample represents decision tree. It was redesigned from the Wikimedia Commons file: Decision Tree on Uploading Imagesv2.svg.
[commons.wikimedia.org/ wiki/ File:Decision_ Tree_ on_ Uploading_ Imagesv2.svg]
"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. ...
A decision tree is a flowchart-like structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label (decision taken after computing all attributes). A path from root to leaf represents classification rules.
In decision analysis a decision tree and the closely related influence diagram is used as a visual and analytical decision support tool, where the expected values (or expected utility) of competing alternatives are calculated.
A decision tree consists of 3 types of nodes:
(1) Decision nodes - commonly represented by squares.
(2) Chance nodes - represented by circles.
(3) End nodes - represented by triangles.
Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal." [Decision tree. Wikipedia]
The marketing diagram example "Decision tree" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Marketing Diagrams solution from the Marketing area of ConceptDraw Solution Park.