G. Oliveira

The Impact of Model Selection Metrics during Hyperparameter Tuning on Algorithmic Fairness: An Empirical Study

The growing use of machine learning in high-stakes domains raises concerns about fairness. The role of optimization metrics in shaping these outcomes remains underexplored. Using a controlled setup, this study investigates how seven performance metrics used for hyperparameter tuning and model selection affect fairness...