A large variety of fraud patterns combined with insufficient data on fraud makes insurance fraud detection a very challenging problem. Many algorithms are available today to classify fraudulent and genuine claims. To understand the various classification algorithms applied in fraud detection, I did a comparison using vehicle insurance claims data. Before I get to the […] The post Comparative Analysis of ML Models for Fraud Detection appeared first on QBurst Blog.
