Explain how entropy is used in the decision tree algorithm.

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Learning Goal: I’m working on a algorithms & data structures writing question and need an explanation and answer to help me learn.Read the Kotu and Deshpande (2018) textbook from page 63 to page 99 and use your own language to answer the following questions. (Each question is worth 1 point)Explain how decision tree models work
Explain how entropy is used in the decision tree algorithm.
Explain why Outlook is chosen as the root of the tree in Figure 4.4.
Explain all the rules in Figure 4.4.
Explain the purpose of random seed.
Summarize the advantages and disadvantages of decision tree model.
Explain how rule induction works.
Requirements: write as much as you can   |   .doc file

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