{"id":28473887,"url":"https://github.com/arnavballincode/binary_classifier","last_synced_at":"2025-09-04T19:42:32.738Z","repository":{"id":260590100,"uuid":"881765490","full_name":"ArnavBallinCode/Binary_classifier","owner":"ArnavBallinCode","description":"A Streamlit web application for binary classification of mushrooms as edible or poisonous using machine learning models like SVM, Logistic Regression, and Random Forest.","archived":false,"fork":false,"pushed_at":"2025-01-14T04:27:18.000Z","size":106,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-02T08:42:50.839Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/ArnavBallinCode.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":"2024-11-01T07:14:05.000Z","updated_at":"2025-01-14T04:27:21.000Z","dependencies_parsed_at":"2024-11-01T08:23:45.469Z","dependency_job_id":"3af069ce-91e5-4cc3-929b-863be93f962f","html_url":"https://github.com/ArnavBallinCode/Binary_classifier","commit_stats":null,"previous_names":["arnavballincode/binary_classifier"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ArnavBallinCode/Binary_classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArnavBallinCode%2FBinary_classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArnavBallinCode%2FBinary_classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArnavBallinCode%2FBinary_classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArnavBallinCode%2FBinary_classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ArnavBallinCode","download_url":"https://codeload.github.com/ArnavBallinCode/Binary_classifier/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArnavBallinCode%2FBinary_classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273664966,"owners_count":25146270,"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","status":"online","status_checked_at":"2025-09-04T02:00:08.968Z","response_time":61,"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":[],"created_at":"2025-06-07T12:31:10.079Z","updated_at":"2025-09-04T19:42:32.683Z","avatar_url":"https://github.com/ArnavBallinCode.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eBinary Classification Web App\u003c/h1\u003e\n\nThis is a web app built to dynamically select a classifier from the given options along with their respective hyper-parameters and view the results in three formats.\n\n## Classifiers Used\n* Support Vector Classifier (SVC)\n* Logistic Regression\n* Random Forest Classifier\n\n## Metrics Used\n* Confusion Matrix\n* ROC Curve\n* Precision-Recall Curve\n\n## Built With\n* **Streamlit** - The web framework used\n* **scikit-learn** - Machine learning library\n* **pandas** - Data manipulation and analysis\n* **numpy** - Numerical computing\n\n## Deployment\n(https://arnavballincode-binary-classifier-app-kt94ps.streamlit.app/)\n\n## Getting Started\n\n### Prerequisites\nMake sure you have the following installed:\n* Python 3.6 or higher\n* pip (Python package installer)\n\n### Installation\n\n1. **Clone the repository:**\n    ```bash\n    git clone https://github.com/yourusername/binary-classification-web-app.git\n    cd binary-classification-web-app\n    ```\n\n2. **Create a virtual environment:**\n    ```bash\n    python -m venv myenv\n    ```\n\n3. **Activate the virtual environment:**\n    - On Windows:\n        ```bash\n        myenv\\Scripts\\activate\n        ```\n    - On macOS and Linux:\n        ```bash\n        source myenv/bin/activate\n        ```\n\n4. **Install the required packages:**\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n5. **Run the app:**\n    ```bash\n    streamlit run app.py\n    ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farnavballincode%2Fbinary_classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farnavballincode%2Fbinary_classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farnavballincode%2Fbinary_classifier/lists"}