What risk does a scientist guard against when a model becomes too intricately tailored to existing dataset noise?
Answer
Overfitting
Overfitting occurs when a model mistakes noise for signal, becoming so tailored to past data that it loses its generalizability and fails when faced with new, unseen inputs.
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