Cross-Validation
Transparency and EvidenceEssentialAppliedNeeds source verification
Definition
The process of evaluating model performance by dividing the data into multiple folds and iteratively training and testing the model.
Context
Researchers
Example
We need to use cross-validation to improve the reliability of the model performance results.
Governance implication
Identify who is responsible for applying and reviewing this concept in a healthcare AI workflow.
Question to ask
How does this concept affect the safety, reliability, or governance of the AI tool we use?
Relevant to
AI / IT, Data Scientist, Healthcare Leader, ML Engineer, Nurse, Pharmacist, Physician, Researcher (Suggested — not reviewed)
Source: Excel column 2; ubitiquos_lang.pdf
Verification: Not independently verified
Version 0.1-draft · AI-GLOSS-0061