A member of the data science team points out that overfitting is often an issue with decision
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A member of the data science team points out that overfitting is often an issue with decision trees. To avoid this issue, he suggests pruning the tree at depth 3 so that the third cut is not made. 1. Using the pruned tree, classify each customer in the validation sample as leave or stay (if the probability of leave is greater than 0.5, classify the customer as leave). Calculate the proportion of customers correctly classified. Based on your answer to requirement 1 of this problem and Exercise, requirement 2, which tree should Sylvia use to identify customers who are likely to leave? 3. As the management accountant, what business recommendations could Sylvia make to management based on the decision tree model?
Related Book For
Calculus For Business, Economics And The Social And Life Sciences
ISBN: 9780073532387
11th Brief Edition
Authors: Laurence Hoffmann, Gerald Bradley, David Sobecki, Michael Price
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