{
  "fetched_at": "2026-10-19T19:36:56Z",
  "source_url": "https://www.kaggle.com/competitions/fia-ml-t5/data",
  "pages": [
    {
      "name": "rules",
      "content": "<h3>One account per participant</h3>\n<p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\n<h3>No private sharing outside teams</h3>\n<p>\n        Privately sharing code or data outside of teams is not permitted.\n        It's okay to share code if made available to all participants on the forums.\n</p>\n<h3>Team Mergers</h3>\n<p>Team mergers are not allowed in this competition.</p>\n\n<h3>Team Limits</h3>\n<p>The maximum team size is one.</p>\n<h3>Submission Limits</h3>\n<p>You may submit a maximum of 5 entries per day.</p>\n<p>You may select up to 2 final submissions for judging.</p>\n<h3>Competition Timeline</h3>\n<p>End Date: <strong>11/11/2018 23:59 AM UTC</strong></p>",
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    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train_data.csv</strong> - the training set</li>\n<li><strong>teste_data.csv</strong> - the test set</li>\n<li><strong>sample_solution.csv</strong> - a sample submission file in the correct format</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<p>As a credit company, it is important to know beforehand who is able to pay their loans and who is not. The goal of this puzzle is to build a statistical/machine learning model to figure out which clients are able to honor their debt.\n</p>",
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    {
      "name": "Evaluation",
      "content": "<hr />\n<p>The evaluation metric for this competition is the AUC. </p> \n<h2>Submission Format</h2>\n<p><strong>For every row in the dataset, submission files should contain two columns: ids and prob. </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>ids,prob<br />5e78f987-3e90-55a9-12f8-423c4d63d254,0.1<br /><span style=\"font-size: 14px; line-height: 1.4em;\">f4f28e96-099f-0ffa-6956-d5befffb7191,0.8<br />b93c6a30-ce80-546c-7ee6-6fc7d27320b4,0.3<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">54f1cfe1-8239-ba99-e926-61dba5a4b119,0.9<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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