Effective Fraud Detection in Insurance Using Machine Learning Models

Fraud detection in the insurance sector is a complex and persistent problem that leads to significant financial losses and undermines customer trust. Moreover, it presents a considerable challenge due to the variety and complexity of fraud schemes, which are constantly evolving. The central question of our study is as follows: Is it possible to effectively detect fraud in an insurance agency using machine learning models?