Terms related to machine learning · 3.3.7
machine learning model
a mathematical construct that produces an inference or prediction from input data or information
What this term settles
The term looks ordinary until two teams use it differently. The entry removes that room by naming the thing, its inputs and its limits in one sentence.
Who it binds
The clause does not instruct anyone: it settles what machine learning model means so that an instruction written elsewhere can be read the same way by both sides.
What to do in your practice
Write the entry into the glossary the firm actually reads, not a shelf document. Check the two artefacts where the word does most work and note any sentence that stretches the meaning.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for machine learning model with the citation 3.3.7, an owner and a review date.An auditor can check that machine learning model is controlled rather than assumed.
- A model record that names the algorithm, the training run and the parameters that changed. The row names machine learning model.Shows machine learning model in use in the artefact the firm relies on, not only in a glossary.
- A training log with the data version, the criteria and the result. The record carries the machine learning model entry and its date.The model record names the vendor product but not the algorithm or the training run, so the term cannot be traced to an artefact. The gap is tested against machine learning model.
Common gaps this page catches
- machine learning model is used in the model and training record without a written definition, so two teams can mean different things.
- A supplier uses machine learning model with a different boundary and nobody has recorded the difference.
What to prepare before the amendment lands
Brief the owners who use machine learning model most often, then ask each to return one artefact that shows the entry in use. File the artefacts against the register row.
How to test it here
Take one live artefact rather than a template, find the sentence or field where machine learning model is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states machine learning model at the claim level "definition" and stops where the public record stops.
Common questions
- What does machine learning model mean in ISO 22989?
- a mathematical construct that produces an inference or prediction from input data or information
- What evidence should we keep for 3.3.7?
- A controlled vocabulary entry for machine learning model with the citation 3.3.7, an owner and a review date. A model record that names the algorithm, the training run and the parameters that changed. The row names machine learning model.
- Is machine learning model a requirement?
- No: machine learning model is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.3.7, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary