Credit-Fraud-Detection-System
PublicHigh-precision credit card fraud detection system achieving 98.4% AUC using ensemble methods (XGBoost, LightGBM). Handles extreme class imbalance (0.172% fraud cases) with advanced resampling techniques. Features robust cross-validation, optimized training pipeline, and comprehensive visualization of model performance.