{
  "fetched_at": "2026-10-20T01:29:02Z",
  "source_url": "https://www.kaggle.com/competitions/campus20-spring2018/data",
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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>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": "<h2>File descriptions</h2>\n<ul>\n<li><strong>marketing_train.csv</strong> - the training set</li>\n<li><strong>marketing_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>age</strong> - age of a given customer</li>\n<li><strong>job</strong> - type of job they have</li>\n<li><strong>marital-status</strong> - their marital status</li>\n<li><strong>education</strong> - their level of education </li>\n<li><strong>default</strong> - have they defaulted on financial products before?</li>\n<li><strong>mortgage</strong> - do they have a mortgage?</li>\n<li><strong>loan</strong> - do they have a loan?</li>\n<li><strong>contact</strong> - how were they (or will they) contacted for the campaign?</li>\n<li><strong>month</strong> - which month were they most recently contacted in as part of this campaign?</li>\n<li><strong>day_of_week</strong> - on what day of the week were they most recently contacted on as part of this campaign?</li>\n<li><strong>duration</strong> - how many seconds was the most recent contact for?</li>\n<li><strong>campaign</strong> - how many times were they contacted during this campaign?</li>\n<li><strong>last-contact-days</strong> - how many days since the last contact of the last campaign until the first day of this campaign?</li>\n<li><strong>empl-rate</strong> - local employment metric</li>\n<li><strong>cpi</strong> - local consumer price index</li>\n<li><strong>cfi</strong> - local consumer confidence index</li>\n<li><strong>unknown</strong> - unknown metric provided by the </li>\n<li><strong>employees</strong> - the title of a movie</li>\n<li><strong>y</strong> - the title of a movie</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<p>Welcome to our new marketing campaign! We've run some focus groups and produced a file, \"marketing_train.csv\". This contains the results of the focus group. For each individual in the group, we have a column \"y\" which represents if they ended up using our services within 14 days. What we want you to do is work out which of our prospective customers are most likely to make use of our wonderful new service.</p>\n<p>What we want is a .CSV file with 2 columns, one for the ID of the individual in the \"marketing_test.csv\" file and the other column should be \"yes\" or \"no\" for the prediction. We've attached an example of what we're expecting in the \"sample_submission.csv\" file.</p>\n<h2>Acknowledgements</h2>\n<p>Thanks to UK CTP-AI. Your help is vastly appreciated</p>",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The results are evaluated by their accuracy http://scikit-learn.org/stable/modules/model_evaluation.html#accuracy-score </p>",
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