Real Exam Practice

A Remove all demographic data from evaluation so reviewers cannot see disparities B Train on the largest dataset available and deploy if the overall approval rate increases C Choose the threshold that maximizes profit and treat fairness as a post-release issue D Evaluate model outcomes and error rates across relevant applicant groups, then review tradeoffs with domain experts