How do you detect overfitting and underfitting in a machine learning model? What techniques can you use to address each problem?

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Detecting and addressing overfitting and underfitting are critical skills for building effective machine learning models. Each problem has distinct symptoms and requires different solutions. Detecting overfitting involves comparing training and validation performance.