{
  "fetched_at": "2026-10-25T00:47:16Z",
  "source_url": "https://www.kaggle.com/competitions/citibank-fraud-defaulters/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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      "postTitle": "",
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    {
      "name": "data-description",
      "content": "<h2>train1, train2, train3 have 3 columns in sequence</h2>\n<h2>File descriptions</h2>\n<li><strong>X1</strong> - Amount of the given credit (NT dollar): it includes both the individual consumer credit and his/her family (supplementary) credit.</li>\n<li><strong>X2</strong> -Gender (1 = male; 2 = female).  </li>\n<li><strong>X3</strong> - Education (1 = graduate school; 2 = university; 3 = high school; 0,4,5,6 = others).</li>\n<li><strong>X4</strong> - Marital status (1 = married; 2 = single; 3 = divorce; 0=others). </li>\n<li><strong>X5</strong> - Age (year).  </li>\n<li><strong>X6-X11</strong> -  History of past payment. We tracked the past monthly payment records (from April to September, 2005) as follows: X6 = the repayment status in September, 2005; X7 = the repayment status in August, 2005; . . .;X11 = the repayment status in April, 2005. The measurement scale for the repayment status is: -2 = No consumption; -1 = pay duly; 1 = payment delay for one month; 2 = payment delay for two months; . . .; 8 = payment delay for eight months; 9 = payment delay for nine months and above </li>\n<li><strong>X12-X17</strong> -  Amount of bill statement (NT dollar). X12 = amount of bill statement in September, 2005; X13 = amount of bill statement in August, 2005; . . .; X17 = amount of bill statement in April, 2005. </li>\n<li><strong>X18-X23</strong> -  Amount of previous payment (NT dollar). X18 = amount paid in September, 2005; X19 = amount paid in August, 2005; . . .;X23 = amount paid in April, 2005. </li>\n</ul>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "<p>Help Citibank predict defaulters!\n\nCitibank has hired you as a Machine Learning Expert to detect default in their newly launched Citi Gold Card. They have hired you as an Machine Learning and FinTech expert. This is an extremely time sensitive and urgent project as defaulters cause substantial loss to the system. They are willing to compensate heavily! Defaulters cause annually over ~ USD 50 Billion in losses. </p>\n<p>\nThe evaluation metric is the accuracy!\n</p>\n<p>\nFinal Leaderboard Freeze - 1:30 pm, 25/October</p>",
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      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric is the accuracy</p>",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
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}