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1. Assign root node 2. Assign leaf nodes 3. Identify the best attribute of the data that will be used as the root node 4. Divide the root node into branches according to the attribute 5. For each branch, assign a decision node that will represent that branch 6. For each decision node, identify the best attribute of the data to use as the decision node 7. Divide the decision node into branches according to the attribute 8. Repeat steps 5-7 until all the data samples have been classified
Answered by text-davinci-003
Jan. 16, 2023, 7:07 p.m.
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