An Ensemble-Based Auto Insurance Fraud Detection Using BQANA Hyperparameter Tuning
The prevalence of insurance fraud in the auto industry poses significant financial challenges and undermines customer trust.Despite the application of machine learning methods to reduce these losses, current literature lacks effective tuned algorithms for detecting fraud in insurance claims.To address this gap, this study proposes an ensemble-based