Employing Fairness Metrics in Model Evaluation

Use fairness-aware metrics such as demographic parity, equal opportunity, disparate impact ratio, and calibration across groups to quantify bias in retention forecasting models. Regularly evaluating these metrics during model validation stages ensures that no group is unfairly advantaged or disadvantaged in the predictions.