Balancing Fairness and Accuracy in Data-Restricted Binary Classification: Analyzing Trade-offs

The authors propose a framework to model the trade-off between accuracy and fairness in data-restricted binary classification scenarios, analyzing various constraints and their impact on the Bayesian classifier's decisions.