Feature importance estimates how much each input variable contributes to a model’s predictions, using various attribution methods.
AI Glossary
Feature Importance
Coverage in development
Feature importance estimates how much each input variable contributes to a model’s predictions, using various attribution methods.
Definition
Plain English explanation
Which columns or signals most influenced the answer—according to a chosen explanation method.
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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