{"id":13771727,"url":"https://github.com/NestorRV/undersampling","last_synced_at":"2025-05-11T04:30:51.923Z","repository":{"id":79166691,"uuid":"111292319","full_name":"NestorRV/undersampling","owner":"NestorRV","description":"A Scala library for undersampling in imbalanced classification.","archived":false,"fork":false,"pushed_at":"2018-06-25T14:35:44.000Z","size":10096,"stargazers_count":16,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-11-17T07:34:28.432Z","etag":null,"topics":["algorithm","classification","imbalance-learning","nearest-neighbor-rules","undersampling"],"latest_commit_sha":null,"homepage":"https://nestorrv.github.io","language":"Scala","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NestorRV.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":"2017-11-19T12:19:42.000Z","updated_at":"2023-08-28T08:58:53.000Z","dependencies_parsed_at":"2023-05-18T14:01:53.539Z","dependency_job_id":null,"html_url":"https://github.com/NestorRV/undersampling","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/NestorRV%2Fundersampling","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NestorRV%2Fundersampling/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NestorRV%2Fundersampling/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NestorRV%2Fundersampling/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NestorRV","download_url":"https://codeload.github.com/NestorRV/undersampling/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":["algorithm","classification","imbalance-learning","nearest-neighbor-rules","undersampling"],"created_at":"2024-08-03T17:00:54.786Z","updated_at":"2025-05-11T04:30:51.093Z","avatar_url":"https://github.com/NestorRV.png","language":"Scala","readme":"# undersampling\n### By Néstor Rodríguez Vico\n\nDocumentation available in [https://nestorrv.github.io](https://nestorrv.github.io).\n\nIncluded algorithms:\n\n* **Balance Cascade.** Original paper: \"Exploratory Undersampling for Class-Imbalance Learning\" by Xu-Ying Liu, Jianxin Wu and Zhi-Hua Zhou.\n\n* **Class Purity Maximization algorithm.** Original paper: \"An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics\" by Kihoon Yoon and Stephen Kwek.\n\n* **ClusterOSS.** Original paper: \"ClusterOSS: a new undersampling method for imbalanced learning.\" by Victor H Barella, Eduardo P Costa and André C. P. L. F. Carvalho.\n\n* **Condensed Nearest Neighbor decision rule.** Original paper: \"The Condensed Nearest Neighbor Rule\" by P. Hart.\n\n* **Easy Ensemble.** Original paper: \"Exploratory Undersampling for Class-Imbalance Learning\" by Xu-Ying Liu, Jianxin Wu and Zhi-Hua Zhou.\n\n* **Edited Nearest Neighbour rule.** Original paper: \"Asymptotic Properties of Nearest Neighbor Rules Using Edited Data\" by Dennis L. Wilson.\n\n* **Evolutionary Undersampling.** Original paper: \"Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy\" by Salvador Garcia and Francisco Herrera.\n\n* **Instance Hardness Threshold.** Original paper: \"An Empirical Study of Instance Hardness\" by Michael R. Smith, Tony Martinez and Christophe Giraud-Carrier.\n\n* **Iterative Instance Adjustment for Imbalanced Domains.** Original paper: \"Addressing imbalanced classification with instance generation techniques: IPADE-ID\" by Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García and Francisco Herrera.\n\n* **NearMiss.** Original paper: \"kNN Approach to Unbalanced Data Distribution: A Case Study involving Information Extraction\" by Jianping Zhang and Inderjeet Mani.\n\n* **Neighbourhood Cleaning Rule.** Original paper: \"Improving Identification of Difficult Small Classes by Balancing Class Distribution\" by J. Laurikkala.\n\n* **One-Side Selection.** Original paper: \"Addressing the Curse of Imbalanced Training Sets: One-Side Selection\" by Miroslav Kubat and Stan Matwin.\n\n* **Random Undersampling.**\n\n* **Tomek Link.** Original paper: \"Two Modifications of CNN\" by Ivan Tomek.\n\n* **Undersampling Based on Clustering.** Original paper: \"Under-Sampling Approaches for Improving Prediction of the Minority Class in an Imbalanced Dataset\" by Show-Jane Yen and Yue-Shi Lee.","funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNestorRV%2Fundersampling","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FNestorRV%2Fundersampling","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNestorRV%2Fundersampling/lists"}