Garima Sharma

Performance Evaluation of Classical Machine Learning Models for Insurance Fraud Detection Under Severe Class Imbalance

Experimental results demonstrate that ensemble-based methods, particularly Random Forest, achieve superior performance in identifying minority class fraud cases while maintaining stable overall classification accuracy in fraud detection scenarios.