Graph/chart Data table Requirement 1. Using the pruned treo. classify each customer in the validation sample as leave or stay (it the probability of leave is greater than 0.5, classify the customer as leavo). Calculate the proportion of customers correctly classified using the pruned tree. TelMark Mobile Services provides mobile phone services to millions of Sylvia asks the data science team to use these variables to create a The proportion of customers correctly ciassified using the pruned tree is Requirement 2. Based on your answer to requirement 1 of this problem and the information regarding the results of the team using the fully formed tree, which tree should Syivia use to identify customers who are likely to leave? Sytvia should use the troe to identify customers who are likely to leave as this model has a 9 The proportion of cust full Requirement 2 . Base should Sylvia use to id pruned sified using the pruned Sylvia should use the tree to identify customers who ar 1 of this accuracy on the validat Graph/chart Data table Requirement 1. Using the pruned treo. classify each customer in the validation sample as leave or stay (it the probability of leave is greater than 0.5, classify the customer as leavo). Calculate the proportion of customers correctly classified using the pruned tree. TelMark Mobile Services provides mobile phone services to millions of Sylvia asks the data science team to use these variables to create a The proportion of customers correctly ciassified using the pruned tree is Requirement 2. Based on your answer to requirement 1 of this problem and the information regarding the results of the team using the fully formed tree, which tree should Syivia use to identify customers who are likely to leave? Sytvia should use the troe to identify customers who are likely to leave as this model has a 9 The proportion of cust full Requirement 2 . Base should Sylvia use to id pruned sified using the pruned Sylvia should use the tree to identify customers who ar 1 of this accuracy on the validat