Detection of Fraud Insurance Claims in Vehicles

Insurance fraud has been a problem since the inception of insurance. However, the methods used for committing fraud and the frequency of these incidents have increased in recent years. Vehicle insurance fraud often involves making false or exaggerated claims for damages or injuries resulting from an accident. Examples of this type of fraud include staged accidents, the use of phantom passengers, and false personal injury claims. In this paper, we analyze data to understand the characteristics of fraudulent claims and use machine learning algorithms to detect this type of fraud.