Question: In the context of machine learning, what does 'overfitting' mean? A . The model performs well on the training data but poorly on unseen data
In the context of machine learning, what does 'overfitting' mean?
A The model performs well on the training data but poorly on unseen data
B The model performs poorly on both training and test data
C The model has too few parameters
D The model generalizes well to unseen data
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