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Insurance fraud data is highly imbalanced and it can be difficult to define what constitutes fraud within the data. In addition, the labeling process of insurance claims occurs as a result of fraud investigations, where only highly suspicious claims are investigated. As a result, the collected data can be categorized as a positively labeled and unlabeled dataset, where positively labeled data poin
