Overfitting occurs when a model fits training data—including noise—so closely that it generalizes poorly to new data.
AI Glossary
Overfitting
Coverage in development
Overfitting occurs when a model fits training data—including noise—so closely that it generalizes poorly to new data.
Definition
Plain English explanation
The model memorizes the homework answers and then fails the real exam.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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