Write the algorithm for decision tree. Generate a Decision tree for classification of loan approval or rejection. Consider the below attributes. 1) age, 2) Income group, 3) CIBIL Score
Q. Write the algorithm for decision tree. Generate a Decision tree for classification of loan approval or rejection. Consider the below attributes. 1) age, 2) Income group, 3) CIBIL Score
Define Problem Attributes: Step 1: Define the problem and identify the attributes.We need to classify loan approval (Yes or No) based on three attributes: age, income group, and CIBIL score.
Collect Prepare Data: Step 2: Collect and prepare the data.For 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.
Choose Root Node: Step 3: Choose the attribute with the highest information gain as the root node.Calculate 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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