TelMark Mobile Services provides mobile phone services to millions of customers in the US. Click the icon to view the additional information) Sylvia Restler is the management accountant assigned to work on the project with the data science team. Sylvia speaks with a few members of the customer service toarn to better understand why customers leave their platform. The team tells her that two variables are highly related to customer churn: number of lines per customer family plan and number of months the customer has been with the company According to their data, customers who have already been with the company for a long time tend to stay, as do customers with many lines on their family plan Sylvia asks the data science feam to use these variables to create a decision tree. (Click the icon to view the decision tree.) The team used a validation set and identified the model predictions (column 5) using the full tree. Accordingly, 7/9 customers were correctly classified (Click the icon to view the model predictions of the full tree.) 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. Read the requirements.