Positive Outcome Spread

From The Foundation for Best Practices in Machine Learning

Positive Outcome Spread


Document and assess the degree to which Model positive outcomes can be distributed to non-scored (Sub)population, when contextually appropriate. If present, take measures to promote Model Outcome distribution in Model design, exploration, development, and production.


To (a) ensure the non-prejudicial spread of positive Model Outcomes; and (b) highlight associated risks that might occur in the Product Lifecycle.

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