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 …

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 …

Accurate forecasting of insurance claims is of the utmost importance for insurance activity as the evolution of claims … determines cash outflows and the pricing, and thus the profitability, of the underlying insurance coverage. These are used as … inputs when the insurance company drafts its business plan and determines its risk appetite, and the respective solvency …

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 …

the past few years have they begun studying these newer algorithms to tackle insurance-related tasks. In this work, we aim … algorithms in actuarial science tasks. Finally, we summarize the future trends of machine learning for the insurance industry. …