Disparate treatment occurs when a machine learning model produces different decisions for individuals based on legally protected or sensitive attribute (e.g., age, sex). In domains where prediction accuracy is paramount, it could potentially be acceptable to fit which exhibits disparate treatment. To evaluate the effect of treatment, we compare performance split classifiers (i.e., trained and d...
