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overfitting in machine learning
A situation where a machine learning model performs well on training data but fails to generalize to new, unseen data due to its excessive complexity or memorization of the training data.
A situation where a machine learning model performs well on training data but fails to generalize to new, unseen data due to its excessive complexity or memorization of the training data.