AdaFair boosts fairness in ML models by balancing accuracy and class imbalance.
problem Discrimination in ML models based on sensitive attributes.
method AdaBoost with cumulative fairness and class imbalance optimization.
result Achieves parity in true positive and true negative rates for both protected and non-protected groups.