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    Calibration Testing Across (Sub)populations

    From The Foundation for Best Practices in Machine Learning
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    Technical Best Practices > Fairness & Non-Discrimination > Calibration Testing Across (Sub)populations

    Calibration Testing Across (Sub)populations

    Control

    If applicable, test Model(s) for calibration. Evaluate whether (Sub)populations members with the same predicted Outcome have an equal probability of actually being in the positive class.


    Aim

    To (a) ensure that Subpopulations each have the same likelihood of deserving the Positive Outcome for a given Model prediction; and (b) highlight associated risks that might occur in the Product Lifecycle.


    Additional Information

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