RS Glossary
Evaluation Metric
A metric is a measurement used to evaluate how well a model, workflow, or system is performing.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 2
- Evaluation Metric
- Metric
Remember it this wayA metric measures a slice of performance, not the whole system.
In plain language
An evaluation metric is a defined measurement used to judge some aspect of system performance, such as accuracy, error, latency, cost, safety, or user success.
Why it matters
Metrics turn a goal into something observable, but every metric emphasizes some outcomes and ignores others. Teams need measures that match the real use case and its harms.
Example
A support classifier is evaluated with recall for urgent cases, false-positive rate, response latency, and escalation outcomes rather than accuracy alone.
Common misconception
A high metric score does not prove that a system is useful, safe, or fair. A metric can be valid for one population or task and misleading for another.
Related terms
Sources
- Google for Developers, “Machine Learning Glossary”provides established boundaries for core machine-learning vocabulary.
- NIST, “The Language of Trustworthy AI”provides a use-case-neutral vocabulary foundation for AI and machine learning.
Learn more
- Compare [[evaluation-gap|Evaluation Gap]], [[verification|Verification]], [[model-card|Model Card]], and [[calibration|Calibration]] to place Evaluation Metric in the surrounding system.
- Follow the cited source material above for the method, standard, or research context behind this draft.
Public history
23 recorded events · 23 public summaries
A potential shared concept was discussed and selected for initial glossary drafting.
The captured candidate received a complete initial draft and entered section-level human review.
Radar reviewed the initial definition draft for human consideration.
Radar reviewed the initial plain-language-explanation draft for human consideration.
Radar reviewed the initial why-it-matters draft for human consideration.
Radar reviewed the initial example draft for human consideration.
Radar reviewed the initial common-misconception draft for human consideration.
Radar reviewed the initial remember-it-this-way draft for human consideration.
Radar reviewed the initial related-terms draft for human consideration.
Radar reviewed the initial sources draft for human consideration.
Radar reviewed the initial learn-more draft for human consideration.
Definition review recorded as approve.
Plain-Language Explanation review recorded as approve.
Why It Matters review recorded as approve.
Example review recorded as approve.
Common Misconception review recorded as approve.
Remember It This Way review recorded as approve.
Related Terms review recorded as approve.
Sources review recorded as approve.
Learn More review recorded as approve.
Sources review recorded as replace.
Radar verified the learner-facing sources after personal origin provenance was removed.
All nine current wording approvals were reconciled to Approved term status.
Source: vault/Glossary/terms/evaluation-metric/term.md · sha256:5ad0af905b24e67dc0c37b161f56430903157f75f8a1771bc0c0e5820819a622 · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02