no code implementations • 27 Apr 2023 • Louis Hickman, Jason Kuruzovich, Vincent Ng, Kofi Arhin, Danielle Wilson
In this study, we systematically under- and oversampled minority (Black and Hispanic) applicants to manipulate adverse impact ratios in training data and investigated how training data adverse impact ratios affect ML model adverse impact and accuracy.