{
  "fetched_at": "2026-10-20T04:57:05Z",
  "source_url": "https://www.kaggle.com/competitions/bdma2018-house-prices/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>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": " ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "RealDeal focuses on acquiring and selling houses/apartments in Rotterdam, taking advantage of market fluctuations. In some cases RealDeal adds value by making renovations to the property before listing them for sale, in other cases they simply identify good opportunities and perform a quick sell at a profit.\n\nAs a first step towards a complete solution, you decide to assess how easy it is to predict house prices as a function of some of their publicly available characteristics. This task will provide you with some information on the likelihood that you can develop a good solution for RealDeal. You decide do scrape a real estate web site (https://www.funda.nl) and gather information about all properties available for sale in Rotterdam. After some data cleaning you assemble a data set with information that may (or may not) be useful to predict the listing price of a property, including location (zipcode), area, amenities, along with other information.\n\nYou should run the models you believe are adequate and that you believe will provide the best predictions. You can use the knowledge acquired in the individual assignment as starting point for this task. This task is different from the task in individual assignment in at least one important aspect. This is not a classification task. Your goal is to predict prices (a continuous variable), and not whether an instance belongs to a specific class.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "In order to make this task more interesting, you will be competing\nwith other groups for developing the best model. For the context of\nthis competition the best model is the model that predicts the\nlogarithm of house prices with the lowest root mean-squared error\n(RMSE), so you should use the variable =log_price= as your target\nvariable. (Taking logs means that errors in predicting expensive\nhouses and cheap houses will affect the result equally.)\n\nFor us to track your progress in kaggle please register you data\ngroup as *BDMA2018-GXX* where XX is the number of your\ngroup.\n\nSubmission Format\n-----------------------\n\nThe file should contain a header and have the following format:\n\n    id,log_price\n    1,10.1231\n    8,11.1232\n    9,23.2342\n    10,9.2422\n    etc.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}