{
  "fetched_at": "2026-10-24T23:26:51Z",
  "source_url": "https://www.kaggle.com/competitions/bolknoms/data",
  "pages": [
    {
      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>Team mergers are not allowed in this competition.</p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 2 entries per day.</p>\r\n    <p>You may select up to 2 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>TBA</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>2/1/2014 12:00 AM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n<p>The rules page is a bit special: it will auto-update the text based on the parameters of the competition. The rules you need to add here are any additional rules relating to dataset usage. You may also put grading information here.</p>",
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    {
      "name": "data-description",
      "content": "<p>We have collected data samples that can be used for training. Samples are taken every 15 minutes starting from two weeks before the deadline and stopping at 0 minutes until the deadline. Training data has been split into a training set and a test set. They contains samples with the following fields:</p>\n<ol>\n<li>Meal day of week</li>\n<li>Minutes left until deadline (0 <= x <= 20160)</li>\n<li>Current registrations on sample</li>\n<li>Known registrations for meal c-1 at sample time</li>\n<li>Known registrations for meal c-2 at sample time</li>\n<li>Known registrations for meal c-3 at sample time</li>\n<li>Known registrations for meal c-4 at sample time</li>\n<li>Known registrations for meal c-5 at sample time</li>\n<li>Known registrations for meal c-6 at sample time</li>\n<li>Known registrations for meal c-7 at sample time</li>\n<li>Registrations for meal p-1</li>\n<li>Registrations for meal p-2</li>\n<li>Registrations for meal p-3</li>\n<li>Registrations for meal p-4</li>\n<li>Registrations for meal p-5</li>\n<li>Registrations for meal p-6</li>\n<li>Registrations for meal p-7</li>\n<li>Registrations for meal p+0</li>\n<li>Registrations for meal p+1</li>\n<li>Registrations for meal p+2</li>\n<li>Registrations for meal p+3</li>\n<li>Registrations for meal p+4</li>\n<li>Registrations for meal p+5</li>\n<li>Registrations for meal p+6</li>\n<li>Registrations for meal p+7</li>\n</ol>\n<p>Where c-1 means The meal the day before the current meal and p+0 means the meal the meal a year before the current meal. The date for the previous year is determined by taking the iso year, week number and day of week, subtracting one from the year and converting to a date again. This makes sure that c+0, c-7, p+7, p+0 and p-7 all fall on the same day of week.</p>\n\n<h2>Remarks</h2>\n - During the first few weeks of usage of <a href=\"https://noms.debolk.nl>Bolknoms</a> no registration creation timestamps were stored. These meals only include the final sample (minutes = 0)\n - The meals in the first year don't have data for the (p-7 - p+7) fields, they have been filled with zeros. These meals are not included in the validation set.\n\n<h2>Submission format</h2>\nThe goal is to read in the samples in challenge.csv, predict the corresponding result column and submit them in the format in submission-sample.csv.",
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    },
    {
      "name": "Description",
      "content": "<p>For the last 50 years members of student society <a href=\"https://www.debolk.nl\">De Bolk</a> have hosted a mensa. Registrations close at 15:00 after which the cook will make food for the people that registered. To make life easier for the cook we want to predict the amount of people that will register without having to wait until 15:00.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<h2>Submission format</h2>\nThe goal is to read in the samples in challenge.csv, predict the corresponding result column and submit them in the format in submission-sample.csv.\n\nScore is determined by the mean square error between the prediction and the actual number of people that registered for that meal.",
      "isPublished": false,
      "hasIsPublished": false,
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}