Output Interpretation(s)

From The Foundation for Best Practices in Machine Learning

Output Interpretation(s)


Document and assess whether the interpretation of the Model Outcomes are clearly, completely and unambiguously defined. If not, take measures to promote Outcome interpretation(s) clarity and completeness as much as is reasonably practical.


To (a) guard against the misinterpretation and/or misapplication of Model Outcomes; and (b) highlight associated risks that might occur in the Product Lifecycle.

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