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• 03:02, 8 August 2026 WikiSysopIG talk contribs created page Overfitting (Created page with "'''Overfitting''' is a phenomenon in Machine learning in which a model learns the training data too closely, including patterns, noise, or random variations that do not generalize to new or previously unseen data. An overfitted model may achieve very low error on its training dataset while performing substantially worse on validation or test data. Overfitting is commonly associated with models that have excessive complexity relative to the amount or quality of a...") Tag: Visual edit