Question: For this question you will adapt the lab notebook for decision trees. Your task is to build a decision tree with just 3 predictor variables,

For this question you will adapt the lab notebook for decision

For this question you will adapt the lab notebook for decision trees. Your task is to build a decision tree with just 3 predictor variables, income, house value and whether college attended or not. The target variable stays the same (leave or stay). When building the tree, control the evolution of the tree with the following statement: decision_tree = DecisionTreeClassifier(max_depth=6, criterion="entropy",max_leaf_nodes =12, min_samples_leaf = 1). Use 50% of the original data as the test set and random_state =0. What is the prediction of the decision tree for a customer with income =700,000, house value =140000 and attended college (i.e., college =1 )? Leave Stay Stay till a bad customer service event happens. Neither stay nor leave. Tree cannot predict for such a customer

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