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Trees Data Structure
A tree is a widely used data structure that it is emulates a hierarchical tree structure with a set of linked nodes.
It is an ordered directed tree: an acyclic connected graph where each node has zero or more children nodes and at most one parent node. Furthermore, the children of each node have a specific order.
A simple unordered tree; in this diagram, the node labeled 7 has two children, labeled 2 and 6, and one parent, labeled 2. The root node, at the top, has no parent.
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.
Decision trees are commonly used in operations investigate, specifically in decision analysis, to help identify a strategy most likely to attain a goal. Another use of decision trees is as a descriptive implementation for calculating conditional probabilities. When the decisions or consequences are modelled by computational verb, then we enjoin the decision tree a computational verb decision tree. 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 of competing alternatives are calculated.
A Decision Tree Consists Of Three Types Of Nodes:-
- Decision Nodes : Commonly represented by squares
- Chance Nodes : Represented by circles
- End Nodes : Represented by triangles
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