Fair admission risk prediction with proportional multicalibration

1 code implementation • 29 Sep 2022 • William La Cava, Elle Lett, Guangya Wan

We observe that proportional multicalibration is a promising criteria for controlling simultaneous measures of calibration fairness of a model over intersectional groups with virtually no cost in terms of classification performance.

Fairness