Bayesian regret

Bayesian regret is a concept used in decision theory and statistics that quantifies the performance of a decision-making strategy in the presence of uncertainty. It measures the difference in expected utility or payoff between the optimal decision (the decision that would yield the highest expected payout if the true state of nature were known) and the decision made by an agent using a specific strategy or approach.