{"id":17581388,"url":"https://github.com/caselles/classic_classifiers","last_synced_at":"2025-03-29T17:14:20.091Z","repository":{"id":122516498,"uuid":"78426093","full_name":"Caselles/classic_classifiers","owner":"Caselles","description":"Comparison of 5 predictive algorithms on a imbalanced 0-1 dataset.","archived":false,"fork":false,"pushed_at":"2017-02-12T09:54:19.000Z","size":445,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-04T17:55:09.765Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/Caselles.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":"2017-01-09T12:18:40.000Z","updated_at":"2024-12-12T16:20:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"5e4b54b3-a979-42eb-95e5-0e2293c4ed2e","html_url":"https://github.com/Caselles/classic_classifiers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Caselles%2Fclassic_classifiers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Caselles%2Fclassic_classifiers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Caselles%2Fclassic_classifiers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Caselles%2Fclassic_classifiers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Caselles","download_url":"https://codeload.github.com/Caselles/classic_classifiers/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246215828,"owners_count":20741894,"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":[],"created_at":"2024-10-22T01:08:42.762Z","updated_at":"2025-03-29T17:14:20.069Z","avatar_url":"https://github.com/Caselles.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Classic classifiers\n\nAuthor : Hugo Caselles-Dupré\n\nDisclaimer : several syntax errors can exist in the code. Use it wisely.\n\n---------------------------------------\nComparison of 5 predictive algorithms on a imbalanced 0-1 dataset.\n---------------------------------------\n\nIn this directory you can find a Jupyter Notebook with the study of a binary classification problem on this dataset : https://archive.ics.uci.edu/ml/datasets/Wilt\n\nFor this, I compared the results obtained with the following algorithms : \n\n- k-Nearest Neighbors (scikit-learn)\n- Support Vector Machine (scikit-learn)\n- Random Forest (scikit-learn)\n- 2 hidden layers fully-connected Neural Network (Keras with TensorFlow backend)\n- Gradient Boosting (XGBoost)\n\nThe Notebook provides results in terms of accuracy and ROC curves (AUC), and a discussion about the results (in French, for a course in ENSAE ParisTech).\n\n------------------------------------------\n\nIf you have any questions : casellesdupre.hugo@gmail.com.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcaselles%2Fclassic_classifiers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcaselles%2Fclassic_classifiers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcaselles%2Fclassic_classifiers/lists"}