Regression
The return of a previously fixed failure in a later version, whether from a code change, a refactor, or an uncontrolled model update. The specific event a regression gate exists to prevent.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The return of a previously fixed failure in a later version, whether from a code change, a refactor, or an uncontrolled model update. The specific event a regression gate exists to prevent.
An algorithm type that predicts a numerical value along a continuous range.
A failure introduced by a change to the system: a behavior that got worse, or an old failure that reappeared, because of a fix. Visible immediately upon shipping the change.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- How AI Actually Works: Algorithms, Data, and Training · AI Fundamentals, AI Literacy & Professional Conduct
- Fixing the model, breaking it again: why fixes are never free · Build Before You Govern, AI Governance: Applied Mastery
- Building the eval suite that would have caught your Module 3 incident · Evaluation and Trust, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.