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A media company is developing a machine learning model to categorize its vast library of content. The data science team is trying to decide between using multi-class or multi-label classification based on the complexity of the content categories. Understanding the differences between multi-class and multi-label classification will help the team choose the most appropriate approach for organizing their content effectively. What do you recommend to the company?