What are the differences between overfitting and underfitting?
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Answer / Rita Singh
Overfitting occurs when a model learns the training data too well, capturing noise rather than underlying patterns, resulting in poor performance on unseen data.nUnderfitting occurs when a model fails to capture the underlying pattern in the training data, leading to poor performance even on the training set.
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