Ermira Memeti

EXPLAINABLE MACHINE LEARNING FOR INSURANCE CLAIM FRAUD DETECTION: A COMPARATIVE PYTHON-BASED STUDY

Today insurance fraud is a big problem for insurance companies since it is challenging to detect potential fraud cases within a large amount of claims data. Traditional rule-based models can detect already known fraud cases, but they often fail to detect new ones and can flag too many false positives. In this paper, se...