Optimal Lineup

Optimal lineup selection, across diverse domains like sports and AI bias mitigation, aims to identify the most effective combination of individuals to maximize performance or minimize undesirable outcomes. Current research employs various machine learning approaches, including neural networks, Bayesian models, and support vector regression, to predict performance based on individual attributes and interactions within the lineup. These studies highlight the importance of considering both individual player characteristics (e.g., shooting style in basketball, player statistics in fantasy football) and their synergistic effects on overall team success, with applications ranging from improving sports team strategies to developing fairer and less biased AI systems.