{"id":28473793,"url":"https://github.com/halacoded/riskintel","last_synced_at":"2026-01-28T08:10:44.683Z","repository":{"id":297267005,"uuid":"996245303","full_name":"halacoded/RiskIntel","owner":"halacoded","description":"machine learning model (RandomForestClassifier) that predicts whether a customer is \"risky\" or \"not risky\" based on various features","archived":false,"fork":false,"pushed_at":"2025-06-04T17:16:00.000Z","size":453,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-04T22:38:13.623Z","etag":null,"topics":["classification","coded","kuwait","machine-learning","random-forest-classifier","randomforestclassifier"],"latest_commit_sha":null,"homepage":"https://colab.research.google.com/drive/1jgdWd_1ry3z4Xxnh68Tm41Ca-xdHP4-n?usp=sharing","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/halacoded.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,"zenodo":null}},"created_at":"2025-06-04T17:05:07.000Z","updated_at":"2025-06-04T17:16:01.000Z","dependencies_parsed_at":"2025-06-04T22:38:16.050Z","dependency_job_id":"43b199b3-93cf-4eb2-baea-951775cf252f","html_url":"https://github.com/halacoded/RiskIntel","commit_stats":null,"previous_names":["halacoded/riskintel"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/halacoded/RiskIntel","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/halacoded%2FRiskIntel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/halacoded%2FRiskIntel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/halacoded%2FRiskIntel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/halacoded%2FRiskIntel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/halacoded","download_url":"https://codeload.github.com/halacoded/RiskIntel/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/halacoded%2FRiskIntel/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263063856,"owners_count":23407999,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["classification","coded","kuwait","machine-learning","random-forest-classifier","randomforestclassifier"],"created_at":"2025-06-07T12:30:35.995Z","updated_at":"2026-01-28T08:10:44.650Z","avatar_url":"https://github.com/halacoded.png","language":null,"readme":"# RiskIntel: Customer Risk Classification\n\n## Overview\nRiskIntel is a machine learning project designed to predict whether a customer is \"risky\" or \"not risky\" based on various features. This model helps businesses assess customer risk and make informed decisions.\n\n## Dataset\nThe dataset used for training is **Customer_Risky_Not_Risky.csv**, which contains the following columns:\n- **label**: Target variable (1 for risky, 0 for not risky)\n- **id**: Unique identifier for each customer\n- **fea_1 to fea_11**: Various features influencing risk assessment\n\n## Objectives\n- Develop a predictive model to classify customer risk.\n- Utilize feature engineering and machine learning techniques.\n- Evaluate the model's performance using accuracy, precision, recall, and F1-score.\n\n## Installation \u0026 Usage\n### Prerequisites\n- Python 3.x\n- COLAP \n- Required libraries: pandas, numpy, scikit-learn RandomForestClassifier , matplotlib.pyplot , seaborn\n\n### Setup\nClick COLAP Link And Downalod Dataset then You are Ready to start\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhalacoded%2Friskintel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhalacoded%2Friskintel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhalacoded%2Friskintel/lists"}