Rare Event Modeling

Rare event modeling is one of the most critical subclasses of imbalanced data problems. The goal is to detect events that occur infrequently but have very high business impact. Fraud, failure, churn, security violations, and critical medical events are common examples. In these settings, not only class balance but also false-negative cost, alert management, and calibration become central concerns. Rare event modeling is the art of managing the gap between statistical rarity and operational importance.