{"id":25933018,"url":"https://github.com/chenna7893/optimizing-credit-card-fraud-detection-using-ensemble-methods","last_synced_at":"2026-03-08T13:34:56.423Z","repository":{"id":264561717,"uuid":"893692377","full_name":"Chenna7893/Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods","owner":"Chenna7893","description":"The project demonstrates the effectiveness of combining AdaBoost and Majority Voting for credit card fraud detection, providing a reliable and accurate solution to combat fraudulent activities in financial transactions.","archived":false,"fork":false,"pushed_at":"2025-01-15T16:47:10.000Z","size":9572,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T00:46:06.735Z","etag":null,"topics":["adaboost-algorithm","cp-abe","knn-algorithm","majority-voting","sha256"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Chenna7893.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-25T03:17:27.000Z","updated_at":"2025-01-15T16:47:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"46bedab2-40fa-40a5-a48e-e1799829dafa","html_url":"https://github.com/Chenna7893/Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods","commit_stats":null,"previous_names":["chenna7893/optimizing-credit-card-fraud-detection-using-ensemble-methods"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Chenna7893/Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chenna7893%2FOptimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chenna7893%2FOptimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chenna7893%2FOptimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chenna7893%2FOptimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Chenna7893","download_url":"https://codeload.github.com/Chenna7893/Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chenna7893%2FOptimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30258510,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-08T08:59:44.879Z","status":"ssl_error","status_checked_at":"2026-03-08T08:58:02.867Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adaboost-algorithm","cp-abe","knn-algorithm","majority-voting","sha256"],"created_at":"2025-03-04T00:46:08.556Z","updated_at":"2026-03-08T13:34:56.396Z","avatar_url":"https://github.com/Chenna7893.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Credit Card Fraud Detection using Ensemble Methods (AdaBoost and Majority Voting)\n\n## Overview\nThis project aims to detect credit card fraud using ensemble learning methods, specifically **AdaBoost** and **Majority Voting**. The dataset used contains transaction details, including features such as transaction amount, merchant, and customer information. The goal is to classify transactions as either legitimate or fraudulent.\n\n### Key Features:\n- **Ensemble Methods**: Utilizes AdaBoost and Majority Voting to improve model performance.\n- **Data Preprocessing**: Handles imbalanced data and applies techniques like SMOTE for oversampling.\n- **Evaluation**: Performance metrics such as accuracy, precision, recall, and F1 score are computed.\n- **Visualization**: Interactive graphs and plots to better understand the performance and model decision-making process.\n\n---\n\n## Technologies Used\n- Python\n- Scikit-learn\n- Pandas\n- NumPy\n- Matplotlib \u0026 Seaborn\n- imbalanced-learn (for oversampling techniques like SMOTE)\n\n---\n\n## Dataset\nThe dataset used is a simulated credit card transaction dataset, containing features that represent transaction details. The target variable indicates whether the transaction was fraudulent (1) or legitimate (0).\n\n\u003e **Note:** For the sake of this project, we have used a publicly available dataset, such as the [Kaggle Credit Card Fraud Detection Dataset](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud).\n\n---\n\n## Installation\n\nExample Outputs\nModel Performance\nHere’s an example of what the evaluation output may look like:\n\nAccuracy: 98.5%\nPrecision: 92.7%\nRecall: 91.2%\nF1-Score: 91.9%\n\n### Clone the Repository\n```bash\ngit clone https://github.com/yourusername/credit-card-fraud-detection.git\ncd credit-card-fraud-detection\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchenna7893%2Foptimizing-credit-card-fraud-detection-using-ensemble-methods","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchenna7893%2Foptimizing-credit-card-fraud-detection-using-ensemble-methods","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchenna7893%2Foptimizing-credit-card-fraud-detection-using-ensemble-methods/lists"}