Selection Function

From The Foundation for Best Practices in Machine Learning

Selection Function


Document and assess the propensity of subpopulations and subpopulation members to be (accurately) recorded in Model datasets, with particular care for (i) unrecorded individuals, (ii) Protected Classes, and (iii) survivorship effects. Incorporate the Selection Function in Model development and evaluation in particular during Fairness & Non-Discrimination, Performance Robustness controls.


To (a) assess and control for the accuracy of Model and Model datasets in representing (Sub)populations; and (b) highlight associated risks that might occur in the Product Lifecycle.

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