Imbalanced Classification: Problems & Solutions with Use Cases
Imbalanced Classification: Problems & Solutions with Use Cases
During the past decade, supervised classification problems have been identified in several actuarial fields, such as risk management, projection modeling, fraud and anomaly detection, etc. In many of these problems, the respective classification task is subject to a highly imbalanced dataset, i.e., the number of instances of the relevant class is extremely small in comparison […]