{"id":17682604,"url":"https://github.com/romanthekat/drivendata-pump-it-up","last_synced_at":"2026-05-09T14:15:33.787Z","repository":{"id":78456932,"uuid":"203033034","full_name":"romanthekat/drivendata-pump-it-up","owner":"romanthekat","description":"https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/","archived":false,"fork":false,"pushed_at":"2022-03-29T16:37:49.000Z","size":380,"stargazers_count":1,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-24T11:58:08.548Z","etag":null,"topics":["catboost","jupyter-notebook","machine-learning","ml","python","random-forest","sklearn","xgboost"],"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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/romanthekat.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-08-18T17:00:18.000Z","updated_at":"2022-03-01T15:14:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"62b9d330-044b-46cc-8715-f5a592f9037e","html_url":"https://github.com/romanthekat/drivendata-pump-it-up","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/romanthekat%2Fdrivendata-pump-it-up","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/romanthekat%2Fdrivendata-pump-it-up/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/romanthekat%2Fdrivendata-pump-it-up/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/romanthekat%2Fdrivendata-pump-it-up/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/romanthekat","download_url":"https://codeload.github.com/romanthekat/drivendata-pump-it-up/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246367721,"owners_count":20765924,"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":["catboost","jupyter-notebook","machine-learning","ml","python","random-forest","sklearn","xgboost"],"created_at":"2024-10-24T09:22:43.063Z","updated_at":"2026-05-09T14:15:28.744Z","avatar_url":"https://github.com/romanthekat.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# drivendata-pump-it-up\n\u003e Can you predict which water pumps are faulty?\n\n\u003e Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional, which need some repairs, and which don't work at all? This is an intermediate-level practice competition. Predict one of these three classes based on a number of variables about what kind of pump is operating, when it was installed, and how it is managed. A smart understanding of which waterpoints will fail can improve maintenance operations and ensure that clean, potable water is available to communities across Tanzania.\n\nhttps://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/\n\n## [Notebook](https://github.com/romanthekat/drivendata-pump-it-up/blob/master/notebooks/notebook.ipynb)\n\n## Submissions\n\n| Best        | Current rank  | # Competitors  |\n| ----------- |:-------------:| --------------:|\n| 0.8096      | 1126          | 7616           |\n\n## Current results:\n```\nXGBoost                   0.8203703703703704\nRandom forest             0.8183501683501684\nCatBoost                  0.7984848484848485\nK-Nearest Neighbors       0.5930976430976431\nMulti-layer perceptron    0.5476430976430976\nNaive Bayes               0.4094276094276094\nSupport Vector Machine    0.38097643097643097\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fromanthekat%2Fdrivendata-pump-it-up","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fromanthekat%2Fdrivendata-pump-it-up","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fromanthekat%2Fdrivendata-pump-it-up/lists"}