{"data":{"full_name":"cloonicux/Credit-Card-Fraud-Detection","name":"Credit-Card-Fraud-Detection","description":"This project detects credit card fraud using a Kaggle dataset of over 1.8 million transactions. To handle the highly imbalanced data, it uses SMOTE to balance fraudulent and legitimate transactions. The project then trains several models, with the LightGBM classifier achieving the best performance at 99.5% accuracy.","stars":3.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"fraud-detection-ml","last_pushed_at":"2025-09-13T12:48:58+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":3.0,"maturity_score":7.0,"community_score":0.0,"quality_score":12.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T03:06:44.604050+00:00"}}