Question: Overfitting happens when a model: Memorizes noise or random fluctuations in the training data Maintains high performance on new, unseen data Fails to learn meaningful

Overfitting happens when a model:
Memorizes noise or random fluctuations in the training data
Maintains high performance on new, unseen data
Fails to learn meaningful patterns from the data
Performs poorly on both the training and test data
Overfitting happens when a model: Memorizes noise

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