What is Model Evaluation?

Model evaluation is the process of quantitatively and qualitatively assessing how well a Machine Learning (ML) or Artificial Intelligence (AI) model performs on defined tasks using objective metrics and test data that are separate from training data. Expanded Explanation 1. Technical Function and Core Characteristics Model evaluation measures a model’s performance on held-out validation or test datasets using metrics that align with the task, such as accuracy, precision, recall, F1 score, area

How widely is Model Evaluation used?

21 organizations in our directory are tagged Model Evaluation, referenced across 1 article and 3 open source projects.

What is Model Evaluation most closely associated with?

Model Evaluation is most closely associated with AI infrastructure and Critical Infrastructure.

Model Evaluation

Last updated August 24, 2026

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What we add

Graph

A glossary entry defines a term and stops there. It doesn't show where the term is actually being used or written about. We track and link every article that covers it.

BlogPosting U.S. Executive Order on AI directs cybersecurity actions and covered frontier model evaluation

Counted facts

A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.

Articles mentioning this entity 1 Open source projects 3 Organizations tagged 21 Organizations AIM Intelligence - AI Security & Safety Solutions, CalypsoAI, Civitai, DeepTrust, Dreadnode, Enkrypt AI, Gray Swan, Hirundo, LCC - Lightbridge Communications, Mindgard, ML4Cyber, Openlayer, Own Data, Prediction Guard, Promptfoo, Reinforce Labs, Scale AI, Scalefair, Thalorin, Turant Related terms Related terms (co-occurring topics)

The person who sent this agent gets an answer they can act on

Somebody dispatched this agent to evaluate Model Evaluation for a real decision: a shortlist, a vendor comparison, a purchase. "Model Evaluation makes X" isn't something they can act on; they need to know the claim is real and where it came from. Follow one enriched link from Act 2 and see what the agent can actually hand back to them:

The record DefinedTerm Model Evaluation
One of its 1 linked records BlogPosting U.S. Executive Order on AI directs cybersecurity actions and covered frontier model evaluation https://decisioninsights.ai/u.s.-executive-order-on-ai-directs-cybersecurity-actions-and-covered-frontier-model-evaluation/
The primary source CreativeWork netskope.com https://www.netskope.com/blog/a-new-ai-executive-order-what-federal-agencies-need-to-know Original author: Lindsay Schwartz

Our summary is written by Decision Insights Coverage. The source keeps its own byline, credited above. Both are in the JSON.