Performance Robustness Assessments

From The Foundation for Best Practices in Machine Learning

Performance Robustness Assessments


Products should regularly complete Performance Robustness Assessments according to Product Lifecycle and Workflow Descriptions to the extent that is reasonably practical. Assessment findings ought to be documented by the Product Team and reviewed by Data Science Managers and, when relevant, the Management Committee.


To analyse, test, and report the risks identified with, and measures taken to ensure, Product Performance Robustness at regular intervals within the Product Lifecycle and Workflow Description.

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