Question: In this scenario, the decision tree classifier predicts every test instance to be positive. Since the data set contains an equal number of positive and

In this scenario, the decision tree classifier predicts every test instance to be positive. Since the data set contains an equal number of positive and negative instances, the classifier will be correct on the positive instances but incorrect on the negative instances. Therefore, the expected error rate of the classifier on the test data would be

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