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Mukund Trivedi
Mukund Trivedi

DECISION TREE

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DECISION TREE MADE BY:- ALOK TIWARI SAGAR SONI
WHAT IS A DECISION TREE ? 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.
USES OF DECISION TREE Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. Another use of decision trees is as a descriptive means for calculating conditional probabilities.
ADVANTAGES OF DECISION TREE Are simple to understand and interpret:- People are able to understand decision tree models after a brief explanation. Have value even with little hard data:- Important insights can be generated based on experts describing a situation (its alternatives, probabilities, and costs) and their preferences for outcomes.
EXAMPLE:-  Imagine you only ever do four things at the weekend: go shopping, watch a movie, play tennis or just stay in. What you do depends on three things: the weather (windy, rainy or sunny); how much money you have (rich or poor) and whether your parents are visiting. You say to your yourself: if my parents are visiting, we'll go to the cinema. If they're not visiting and it's sunny, then I'll play tennis, but if it's windy, and I'm rich, then I'll go shopping. If they're not visiting, it's windy and I'm poor, then I will go to the cinema. If they're not visiting and it's rainy, then I'll stay in.
A suitable decision tree for the weekend decision choices would be as follows:-
Decision tree

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Decision tree

  • 1. DECISION TREE MADE BY:- ALOK TIWARI SAGAR SONI
  • 2. WHAT IS A DECISION TREE ? 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.
  • 3. USES OF DECISION TREE Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. Another use of decision trees is as a descriptive means for calculating conditional probabilities.
  • 4. ADVANTAGES OF DECISION TREE Are simple to understand and interpret:- People are able to understand decision tree models after a brief explanation. Have value even with little hard data:- Important insights can be generated based on experts describing a situation (its alternatives, probabilities, and costs) and their preferences for outcomes.
  • 5. EXAMPLE:-  Imagine you only ever do four things at the weekend: go shopping, watch a movie, play tennis or just stay in. What you do depends on three things: the weather (windy, rainy or sunny); how much money you have (rich or poor) and whether your parents are visiting. You say to your yourself: if my parents are visiting, we'll go to the cinema. If they're not visiting and it's sunny, then I'll play tennis, but if it's windy, and I'm rich, then I'll go shopping. If they're not visiting, it's windy and I'm poor, then I will go to the cinema. If they're not visiting and it's rainy, then I'll stay in.
  • 6. A suitable decision tree for the weekend decision choices would be as follows:-