{"repo":"ARPAHLS/cfd","free":true,"listed":false,"github":"https://github.com/ARPAHLS/cfd","clone":"git clone https://github.com/ARPAHLS/cfd.git","description":"An Enterprise-Grade Credit Card Fraud Detection System.","language":"Python","stars":12,"topics":["credit-card","fraud-detection","payments","paysim-data","security"],"license":null,"category":"security-tools","readme_excerpt":"An Enterprise-Grade Credit Card Fraud Detection System Overview CFD is a modular, high-performance fraud detection system designed to identify malicious financial transactions with exceptional accuracy. Built on the PaySim dataset, it processes millions of transaction logs to flag fraud in real-time, leveraging advanced ensemble learning techniques to handle extreme class imbalances. [!TIP] Deep Dive : For a technical breakdown, see the System Architecture Guide. For a business perspective on value and usage, including impact and reliability analysis, see the Executive Summary. Key Features - Advanced AI Modeling : Utilizes weighted Random Forest and Gradient Boosting classifiers. - Enterprise Architecture : Fully modular design with separate data ingestion, feature engineering, and evaluation layers. - Audit Compliance : Comprehensive JSON-based audit logging for every system action. - Automated Reporting : Generates instant performance metrics (ROC-AUC, Confusion Matrix). - Production Ready : rapid train/predict capabilities via CLI. Model Performance The current release features a Random Forest Classifier trained on 6.3 million transactions. Metric Score Notes :--- :--- :--- ROC-AUC 0.999 Excellent discrimination capability Precision 1.00 Zero false positives on test set Recall 1.00 100% fraud detection rate on test set [!IMPORTANT] Performance Note : This model is trained on synthetic data (PaySim), where fraud patterns are often deterministic (e.g., specific account empt","default_branch":null,"files":null,"tree":[],"storefront":"/r/ARPAHLS","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ARPAHLS/cfd/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}