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What does 'overfitting' mean in the context of machine learning?

The model performs poorly on both training and test data The model learns the training data too well, including noise, and fails to generalize The model is too simple to capture patterns in the data The training process takes too long to converge

Correct Answer:

The model learns the training data too well, including noise, and fails to generalize

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