BIAM 510 Week 4 Case Study, Decision Trees


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BIAM 510 Week 4 Case Study Decision Trees

A Typical Decision Tree Questions and Answers

Q1: What is the business scenario being use here?

Q2: What is the target variable, its type, and permissible values?

Q3: What is the percentage distribution of the target variable values in the training data set as a whole?

Q4: Which node is the root node, and what are the percentage distributions of the target variable?

Q5: There are three boxes with a letter I, A, or V connect to the box via an arrow. What is distinctive about each of these three boxes, and what does the letter with the arrow pointing to the box signify?

Q6: What is the name of each of the three boxes refer to in the previous question?

Q7: What is the rule …for the three boxes ….with a letter and an arrow refer to in the previous question ? Make sure your answer is specific for each box.

Q8: On page 243, the authors state: “After six months, 89.3% of subscribers are still active, 4.39% have left involuntarily, and 6.32% have left voluntarily.” What were the corresponding distributions for the training set? Why do you think they were different? What are the implications for this difference? biam 510 week 4

Q9: This organization is in a mature market, which means there are relatively few entities that do not already have a vendor supplying this product. The book says that in this type of market, organizations are concerned about churn. Why is that?

Q10: What did the organization learn in your opinion about churn that it can use from this activity?