Given a decision tree model, review the listed four features with their computed Information Gain. Based on this information, on which feature would you expect the next split to be in the decision tree? Feature Info-Gain Duration 0.0310 Balance 0.0456 Gender 0.0034 Education 0.0100 Balance Gender O Duration Education
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