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).
What is the prediction of the decision tree for a customer with income = 90,000, house value = 152000 and NOT attended college (i.e., college = 0)?
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