Term · Topic

Generalization Score

Q: What is Generalization Score?

Generalization Score (GS) is a quantitative measure that evaluates how accurately a trained model performs on previously unseen data drawn from the same or related distributions as its training data. Expanded Explanation 1. Technical Function and Core Characteristics The GS represents the gap between performance on training data and on validation or test data sampled from the same task. It typically uses metrics such as accuracy, loss, F1, or area under the ROC curve computed on held-out

Generalization score is a quantitative measure of how well a trained model performs on unseen but representative data, used in enterprises to evaluate overfitting risk, support model selection, and document model performance for governance, compliance, and lifecycle management.

What this term record gives an agent

Vendors describe the same technology in different words. This record pins down what "Generalization Score" means and ties it to the companies and coverage that use it, so an agent compares like with like.

One definition

A plain definition plus how it's used, what it's often confused with and why it matters.

Neighboring terms

Related terms in the same glossary, so an agent can widen or narrow a search the way the market does.

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MCP

curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"generalization-score-gs"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/0a252869-686f-42ea-bd34-7f37253b06fa

CLI

di get-glossary --slug generalization-score-gs

JSON-LD

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

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How an agent can rely on this definition

What the record lets an agent check before it uses the term in an answer.

The check	What the record shows	Where it is in the data
It's a known term	One entry, with its type (topic)	`name`
It sits in a glossary	Linked to Model Generalization, Secure Gradient Sharing, Data Quality Score, Data Accuracy Score	`inDefinedTermSet`

View the raw record (JSON-LD)

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