Underfitting occurs when a model is too simple or insufficiently trained to capture the underlying patterns in the data.
AI Glossary
Underfitting
Coverage in development
Underfitting occurs when a model is too simple or insufficiently trained to capture the underlying patterns in the data.
Definition
Plain English explanation
The model is too blunt to learn the real pattern, so it does poorly on both training and new data.
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
Correction request
If a technology assignment or hub description is inaccurate, submit a correction via the Corrections Policy.
All technologies → · AI Models → · APIs & SDKs → · Integrations → · Compliance → · Browse all companies → · Explore industries → · Compare →