Decision trees could be represented in different ways such as:
(A) Bottom to top
(B) Left to right
(C) Top to bottom
(D) All of the above
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Answer:
(D) All of the above
Explanation:
Decision trees could be represented in different ways such as Bottom to top, Left to right C and Top to bottom. 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.
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(D) All of the above
- Decision trees could be represented in different ways such as Bottom to top, Left to right C and Top to bottom.
- 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.
- utility.In decision trees Nodes represent the condition, with the right side of tree hightailing the actions to be taken
- 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 that only contains conditional control statements.
- A decision tree is built top-down from a root node and involves partitioning the data into subsets that contain instances with similar values (homogenous).
- ID3 algorithm uses entropy to calculate the homogeneity of a sample.
- These graphs have nodes representing decision points about the main variable given the predictor and edges are the connections between the nodes.
- . As the goal of a decision tree is that it makes the optimal choice at the end of each node it needs an algorithm that is capable of doing just that.
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