Question: Differentiate between overfitting and underfitting in the context of machine learning models.Answer: Overfitting occurs when a model learns the training data too well, capturing noise and producing poor generalization on new data. Underfitting happens when a model is too simple to capture the underlying patterns in the data, resulting in poor performance on both training and test sets. |
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