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Question: What is the difference between a regression problem and a classification problem in machine learning?
Answer: In a regression problem, the goal is to predict a continuous output, such as a numerical value. In a classification problem, the goal is to assign inputs to one of several predefined categories. Regression models predict quantities, while classification models assign labels.

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