{"id":25957800,"url":"https://github.com/magnus0969/multi-class-classification","last_synced_at":"2026-06-12T09:30:59.909Z","repository":{"id":249851308,"uuid":"832749418","full_name":"Magnus0969/Multi-Class-Classification","owner":"Magnus0969","description":"This repository contains a comprehensive implementation of a multi-class classification model, leveraging various machine learning algorithms to classify data into multiple categories. The project includes data preprocessing, model training, evaluation, and performance metrics to assess the effectiveness of different classification techniques.","archived":false,"fork":false,"pushed_at":"2025-02-05T14:12:39.000Z","size":9,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T17:53:43.628Z","etag":null,"topics":["classification","cnn-classification","keras-classification-models","multiclass-classification","python"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Magnus0969.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-07-23T16:39:57.000Z","updated_at":"2025-02-05T14:12:43.000Z","dependencies_parsed_at":"2025-02-05T15:22:18.891Z","dependency_job_id":"42250234-c0ea-45d4-a231-89be276a8d9f","html_url":"https://github.com/Magnus0969/Multi-Class-Classification","commit_stats":null,"previous_names":["magnus0969/multi-class-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Magnus0969/Multi-Class-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Magnus0969%2FMulti-Class-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Magnus0969%2FMulti-Class-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Magnus0969%2FMulti-Class-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Magnus0969%2FMulti-Class-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Magnus0969","download_url":"https://codeload.github.com/Magnus0969/Multi-Class-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Magnus0969%2FMulti-Class-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34238711,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-12T02:00:06.859Z","response_time":109,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["classification","cnn-classification","keras-classification-models","multiclass-classification","python"],"created_at":"2025-03-04T17:52:59.203Z","updated_at":"2026-06-12T09:30:59.883Z","avatar_url":"https://github.com/Magnus0969.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-Class Classification\n\nThis repository contains an implementation of a **Multi-Class Classification** model using machine learning techniques. The project demonstrates how to train, evaluate, and optimize a classifier for handling multiple categories in a dataset.\n\n## 🚀 Features\n- Preprocessing and feature engineering for multi-class classification.\n- Model training using machine learning algorithms.\n- Performance evaluation with relevant metrics.\n- Hyperparameter tuning for model optimization.\n\n## 📌 Requirements\nInstall the dependencies using:\n```bash\npip install -r requirements.txt\n```\n\n## 🔥 Usage\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/Magnus0969/Multi-Class-Classification.git\n   cd Multi-Class-Classification\n   ```\n2. Run the training script:\n   ```bash\n   python scripts/train.py\n   ```\n3. Evaluate the model:\n   ```bash\n   python scripts/evaluate.py\n   ```\n\n## 📊 Evaluation Metrics\n- **Accuracy**\n- **Precision, Recall, F1-score**\n- **Confusion Matrix**\n\n## 📜 License\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmagnus0969%2Fmulti-class-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmagnus0969%2Fmulti-class-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmagnus0969%2Fmulti-class-classification/lists"}