{"id":26358213,"url":"https://github.com/marianamartiyns/ml-classification-models","last_synced_at":"2025-03-16T14:19:47.860Z","repository":{"id":275309208,"uuid":"874567009","full_name":"marianamartiyns/ML-Classification-Models","owner":"marianamartiyns","description":"Classification models applied to the National Health Survey dataset (PNS - 2019) using Machine Learning techniques.","archived":false,"fork":false,"pushed_at":"2025-02-01T15:19:37.000Z","size":195885,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T16:21:58.634Z","etag":null,"topics":["data-cleaning","data-science","decision-tree","machine-learning-algorithms","neural-network","svm"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/marianamartiyns.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":"2024-10-18T04:16:10.000Z","updated_at":"2025-02-01T15:19:40.000Z","dependencies_parsed_at":"2025-02-01T16:33:35.208Z","dependency_job_id":null,"html_url":"https://github.com/marianamartiyns/ML-Classification-Models","commit_stats":null,"previous_names":["marianamartiyns/ml-classification-models"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marianamartiyns%2FML-Classification-Models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marianamartiyns%2FML-Classification-Models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marianamartiyns%2FML-Classification-Models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marianamartiyns%2FML-Classification-Models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/marianamartiyns","download_url":"https://codeload.github.com/marianamartiyns/ML-Classification-Models/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243878549,"owners_count":20362449,"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":["data-cleaning","data-science","decision-tree","machine-learning-algorithms","neural-network","svm"],"created_at":"2025-03-16T14:19:47.320Z","updated_at":"2025-03-16T14:19:47.854Z","avatar_url":"https://github.com/marianamartiyns.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Machine Learning Classifiers: Neural Network, Decision Tree \u0026 SVM\n\n\u003e Classification models applied to the National Health Survey dataset (PNS - 2019) using Machine Learning techniques.\n\n### \u003e 📋 Description\n\nThis repository explores three popular classification algorithms in Machine Learning: **Neural Network**, **Support Vector Machine (SVM)**, and **Decision Tree**. These models are applied to the 2019 National Health Survey (PNS) dataset, conducted by the Ministry of Health in partnership with the Brazilian Institute of Geography and Statistics (IBGE). The dataset provides insights into various health indicators across Brazil.\n\n### \u003e 🧩 Performance Analysis\n\n- [x] **Accuracy Comparison**: Evaluating and comparing the accuracy of each model.\n- [x] **Precision, Recall \u0026 F1-Score**: Calculating these metrics to analyze model performance, particularly for imbalanced classes.\n\n```py\n# Authors info\n\n# LinkedIn: https://www.linkedin.com/in/perfil-felipe-gontijo/\n# GitHub: https://github.com/flipfelly\n\n# LinkedIn: https://www.linkedin.com/in/profile-mariana-martins/\n# GitHub: https://github.com/marianamartiyns\n```\n\n\u003cimg align=\"right\" width ='40px' src ='https://cdn.jsdelivr.net/gh/devicons/devicon/icons/jupyter/jupyter-original-wordmark.svg'\u003e \u003c/a\u003e\n\u003cimg align=\"right\" width ='40px' src ='https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg'\u003e \u003c/a\u003e\n\u003cimg align=\"right\" width ='40px' src ='https://upload.wikimedia.org/wikipedia/commons/0/05/Scikit_learn_logo_small.svg'\u003e \u003c/a\u003e\n\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarianamartiyns%2Fml-classification-models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarianamartiyns%2Fml-classification-models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarianamartiyns%2Fml-classification-models/lists"}