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Write the algorithm for decision tree. Generate a Decision tree for classification of loan approval or rejection. Consider the below attributes. 11) age, 22) Income group, 33) CIBIL Score

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Q. Write the algorithm for decision tree. Generate a Decision tree for classification of loan approval or rejection. Consider the below attributes. 11) age, 22) Income group, 33) CIBIL Score
  1. Define Problem Attributes: Step 11: Define the problem and identify the attributes.\newlineWe need to classify loan approval (Yes or No) based on three attributes: age, income group, and CIBIL score.
  2. Collect Prepare Data: Step 22: Collect and prepare the data.\newlineFor this example, let's assume we have a dataset with historical loan approval records, which includes the applicant's age, income group, and CIBIL score.
  3. Choose Root Node: Step 33: Choose the attribute with the highest information gain as the root node.\newlineCalculate the entropy for the entire dataset and then calculate the information gain for each attribute. Assume age has the highest information gain.

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