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.
anamoly-detectioncatboostcredit-card-fraudcross-validationdata-scienceensemble-methodsfraud-detectionimbalanced-learninglightgbmmachine-learning
Creat:2025-05-04T04:40:05
Update:2025-05-18T01:38:37
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