What is Overfitting? — AI Encyclopedia | XLUXX

Overfitting — When a model memorizes training data instead of learning general patterns. Performs perfectly on training data but fails on new data. Like studying only past exam answers instead of understanding the subject. Prevented by regularization, dropout, data augmentation, and early stopping.

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