{
  "fetched_at": "2026-10-23T04:01:02Z",
  "source_url": "https://www.kaggle.com/competitions/bod-in-river-water/data",
  "pages": [
    {
      "name": "rules",
      "content": "**One account per participant**\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n**No private sharing outside teams**\nPrivately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.\n\n**Team Mergers**\nTeam mergers are allowed and can be performed by the team leader. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.\n\n**Team Limits**\nThe maximum team size is 3.\n\n**Submission Limits**\nYou may submit a maximum of 5 entries per day.\nParticipants will need to wait until the next UTC day after submitting the maximum number of daily submissions.\n\nYou may select 2 **final submissions** for judging for the final private leaderboard. Users can hand-select the eligible submissions, or will otherwise default to the best public scoring submissions.\n\nThe **competition winners** are the top 3 teams. Each of these teams **must make its notebook public** with a explanation of its decision within one week of the release of the private leaderboard. If the team refuses to do so, it will be stripped of its winner status of the competition and the winner will be the next in the ranking.\n\n**Competition Timeline**\nStart Date: 11/16/2019\n\n**Merger Deadline:** None\n\n**Entry Deadline:** None\n\n**End Date:** 04/30/2020\n\nWhile the water monitoring data of State Water Resources Agency of Ukraine is publicly available on the internet, looking up the answers defeats the entire purpose.  So seriously, don't do that. The data is mixed and encoded.",
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    {
      "name": "data-description",
      "content": "<p>There are 8 consecutive stations of the state water monitoring system. It's should predict the value in the eighth station by the first seven stations. The numbering of stations in the dataset is done from the target station upstream, ie closest to it - first, upstream - second, etc.</p>\n<p>Data are average monthly. The number of observations on stations is different (from 4 to about 20 years). </p>\n<p>Training and test data are chosen so that the percentage of non-NA values on stations with long and short series data is approximately the same.</p>\n<p>BOD is measured in mgO/cub. dm (ie milligrams of oxygen in the cubic decimeter)</p>\n<p>The maximum permissible value of BOD in Ukraine is 3 mgO/cub. dm. </p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>Id</strong> - the unique id of a given monthly averaged data</li>\n<li><strong>target</strong> - a values of monthly averaged data of BOD in target station, mgO/cub. dm</li>\n<li><strong>1-7</strong> - a values of monthly averaged data of BOD in stations 1-7 (in seven stations located from the target station upstream), mgO/cub. dm</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<p>The competition is dedicated to predicting the amount of biochemical oxygen demand, which is determined in 5 days (\"BOD5\" or \"BOD\"), in river water.</p>\n<p>There are 8 consecutive posts of the state water monitoring system. It's should predict the value in the eighth station by average monthly monitoring data (about 20 years) of the first seven stations located from the target station upstream.</p>\n<h2>Acknowledgements</h2>\n<p>We thank State Water Resources Agency of Ukraine (https://www.davr.gov.ua/) and the Ukrainian Portal Open Data (https://data.gov.ua/) for providing data of water monitoring data which used for this dataset.</p>\n<p></p>\n<p>And grateful for the photo provided me for dataset image: photo by Samara Doole (https://unsplash.com/@samaradoole?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on Unsplash (https://unsplash.com/photos/T8-kfC8W4b8).</p>",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is RMSE (Root Mean Square Error)</p>",
      "isPublished": false,
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}