Question: When building the tree, control the evolution of the tree with the following statement: decision _ tree = DecisionTreeClassifier ( max _ depth = 6

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)?

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