Search Results for author: Kofi Arhin

Found 2 papers, 0 papers with code

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy

no code implementations27 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.

Fairness

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