This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative … for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products …, retaining existing customer base and gaining an edge in the highly competitive retail insurance market. The delta boosting …

The growing trend in the number and severity of auto insurance claims creates a needfor new methods to efficiently … study considers how automotive insurance providers incorporate machinery learning intheir company, and explores how ML … models can apply to insurance big data. We utilize various MLmethods, such as logistic regression, XGBoost, random forest …

producing health care. Specifically, we use a large set of private insurance claims from the FAIR Health database to show that …