Glossary · Math & training
Overfitting
A generalization gap in which performance on training data is substantially better than performance on representative unseen data. Memorization can contribute, but the operational symptom is poor generalization.
In practice
Compare training and held-out metrics, inspect subgroup failures, and test changes such as data quality, regularization, early stopping, or model capacity.
Related terms
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