{
  "fetched_at": "2026-10-20T07:13:48Z",
  "source_url": "https://www.kaggle.com/competitions/giant-sucking-sound/data",
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      "name": "data-description",
      "content": "<h2>File descriptions</h2>\r\n<ul>\r\n<li><strong>train.csv</strong> - the training set</li>\r\n<li><strong>test.csv</strong> - the test set</li>\r\n<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>\r\n</ul>\r\n<h2>Data fields (data_dictionary)</h2>\r\n<p><em><strong>Variable - </strong> Description</em></p>\r\n<p><br /><strong>Locality</strong> - County/City Name<br /><strong>STATE -  </strong>State<br /><strong>VOTE</strong> - % Democratic Vote<br /><strong>POPN</strong> - Population<br /><strong>PopChange</strong> - % Population Change since 1990<br /><strong>Age75+</strong> - % Age 75 and Older<br /><strong>CRIME</strong> - Serious Crimes per 100,000<br /><strong>COLLEGE</strong> - % Bachelor's Degree or Higher<br /><strong>INCOME</strong> - Median Family Income<br /><strong>FARM</strong> - % Farm Population<br /><strong>WHITE</strong> - % White<br /><strong>AA</strong> - % African American<br /><strong>TURNOUT</strong> - % Change in # of Voters since 1990</p>",
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    {
      "name": "Description",
      "content": "<p>In this competition, you will be modeling data from the 1992 US Presidential Election.  That election was one of the most memorable elections due in part to the success of a third party candidate – Ross Perot. The ‘Giant Sucking Sound’ refers to what Perot thought that the North American Free Trade Agreement (NAFTA) would do to jobs as they were sucked to Mexico.</p>\r\n<p>To give you context, watch the short video <a href=\"http://fivethirtyeight.com/features/the-ross-perot-myth/\" target=\"_blank\">‘The Perot Myth’ </a>from Nate Silver’s <a href=\"http://fivethirtyeight.com/\" target=\"_blank\">FiveThirtyEight.com</a>.</p>\r\n<p><br />Data is provided on the locality (county/city) level. You will be modeling the Democratic votes (variable = ‘VOTE’) by locality.</p>\r\n<p><br />The data has been split into two groups, a 'training’ set and a 'test’ set. For the training set, the outcome ( ‘VOTE’ ) is provided for each locality. You will use this set to build your model to generate predictions for the test set.</p>\r\n<p><br />For each locality in the test set, you must predict the Democratic vote percentage (‘VOTE’). Your score is determined by the average of the absolute differences of your predictions and the actual values (Mean Absolute Error) in the test set.</p>",
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    {
      "name": "Evaluation",
      "content": "<p>Your score is determined by the average of the absolute differences of your predictions and the actual values (Mean Absolute Error) in the test set.</p>\r\n<h4>Submission Format</h4>\r\n<p>Submission files should contain two columns: 'Locality' and 'VOTE'.  The submission file must be in CSV format (see the 'sample_submission' file).</p>",
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    {
      "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>The maximum size of a team is 2 participants.</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>10/25/2016 5:44 PM UTC</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>11/3/2016 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
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