BIAM510 Week 4: Analyzing a Typical Decision Tree Case Study ๐
Explore the business scenario and key insights from the Week 4 case study on decision trees in BIAM510. Perfect for understanding practical applications and decision-making processes.
Sam Walker 91
4 views โข Feb 17, 2017
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http://student.land/products.php?product=BIAM510-Week-4-Assignment-Case-Study-A-Typical-Decision-Tree <br />Q1. What is the business scenario being used here? <br /> <br />Q2. What is the target variable, its type, and permissible values? <br /> <br />Q3. What is the percentage distribution of the target variable values in the training data set as a whole? <br /> <br />Q4. Which node is the root node, and what are the percentage distributions of the target variable? <br /> <br />Q5. There are three boxes with a letter I, A, or V connected 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? <br /> <br />Q6. What is the name of each of the three boxes referred to in the previous question? <br /> <br />Q7. What is the rule set for the three boxes labeled with a letter and an arrow referred to in the previous question? Make sure your answer is specific for each box. <br /> <br />Q8. On page 243 the authors state: โAfter six months, 89.3% of subscribers are still active, 4.39% have left involuntarily, and 6.32% have left โvoluntarilyโ. What were the corresponding distributions for the training set? Why do you think they were different? What are the implications for this difference? <br /> <br />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?
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Feb 17, 2017
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