{"id":13772243,"url":"https://github.com/wangz10/class_imbalance","last_synced_at":"2025-05-11T04:31:16.898Z","repository":{"id":68447783,"uuid":"52632806","full_name":"wangz10/class_imbalance","owner":"wangz10","description":"Jupyter Notebook presentation for class imbalance in binary classification","archived":false,"fork":false,"pushed_at":"2018-08-11T14:31:29.000Z","size":1544,"stargazers_count":49,"open_issues_count":0,"forks_count":15,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-04-09T22:17:08.029Z","etag":null,"topics":["classification","imbalanced-data","machine-learning","tutorial"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/wangz10.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}},"created_at":"2016-02-26T21:07:39.000Z","updated_at":"2023-05-08T20:58:02.000Z","dependencies_parsed_at":"2023-05-14T16:15:52.623Z","dependency_job_id":null,"html_url":"https://github.com/wangz10/class_imbalance","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/wangz10%2Fclass_imbalance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wangz10%2Fclass_imbalance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wangz10%2Fclass_imbalance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wangz10%2Fclass_imbalance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wangz10","download_url":"https://codeload.github.com/wangz10/class_imbalance/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253518941,"owners_count":21921074,"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","imbalanced-data","machine-learning","tutorial"],"created_at":"2024-08-03T17:01:01.738Z","updated_at":"2025-05-11T04:31:14.243Z","avatar_url":"https://github.com/wangz10.png","language":"Jupyter Notebook","funding_links":[],"categories":["3.2 Github Repositories"],"sub_categories":["3.2.1 *Algorithms \u0026 Utilities \u0026 Jupyter Notebooks*"],"readme":"# Practical tips for class imbalance in binary classification\n#### _Zichen Wang_\n\nA [blog post](https://medium.com/@wangzc921/practical-tips-for-class-imbalance-in-binary-classification-6ee29bcdb8a7?source=friends_link\u0026sk=16c43640eab3817a8de3cb15eedb181a) was writen based on this tutorial. \n\n## Requirements\nTo run the notebook, install modules on Python2.7 in [requirements.txt](https://github.com/wangz10/class_imbalance/blob/master/requirements.txt).\n\n`\npip install -r requirements.txt\n`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwangz10%2Fclass_imbalance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwangz10%2Fclass_imbalance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwangz10%2Fclass_imbalance/lists"}