What are the 10 Good Machine Learning Practice (GMLP) principles?
GMLP is a set of 10 guiding principles jointly issued by FDA, Health Canada, and the UK MHRA for AI/ML medical devices — spanning multidisciplinary expertise, good software and data practices, representative datasets, independence of training and test data,…
Answer.
GMLP is a set of 10 guiding principles jointly issued by FDA, Health Canada, and the UK MHRA for AI/ML medical devices — spanning multidisciplinary expertise, good software and data practices, representative datasets, independence of training and test data, human-factors and clinically meaningful performance, and monitoring deployed models for performance and drift. They are principles, not a checklist with thresholds. Planisphere maps most directly to the performance-evaluation and deployed-model-monitoring principles via reproducible measurement; the others are development-practice commitments.
The mark behind the answer.
Good Machine Learning Practice · 10 lifecycle principles.
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Start with the free sandbox. Planisphere measures model behaviour and emits a reproducible, sha-pinned record — it does not certify, file, or give legal advice.