Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed. leading statistical models to be biased toward the dominant class. The algorithmic approaches to handling imbalance involve modification to the loss functions to sensitize them to the minor class. Our research focuses on the ef... https://sportshutes.shop/product-category/miscellaneous/