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AnswerQuestion: In the context of machine learning, what is "overfitting"?
A: When a model uses too few features to make predictions
B: When a model is too simple to capture patterns in the data
C: When a model performs well on training data but poorly on unseen data
D: When a model is trained on too much data
Correct Answer: C When a model performs well on training data but poorly on unseen data