{
  "fetched_at": "2026-10-20T02:34:21Z",
  "source_url": "https://www.kaggle.com/competitions/credit-default-prediction-ai-big-data/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "<p>Download the data: train.csv, test.csv and sampleSubmission.csv (example of a file with answers).\nRecords in the train dataset are numerated using column Id from 0 to 7499, in test and sample submission - from 7500 to 9999.</p>\n---------------------------------------------------------------------------------------------------------------------------------------------------\n<p>Скачайте данные: train.csv (тренировочный датасет), test.csv (тестовый датасет) и sampleSubmission.csv (образец ответа).\nОбратите внимание, что в тренировочном датасете записи пронумерованы c помощью поля Id от 0 до 7499, в тренировочном и образце ответа - от 7500 до 9999.</p>",
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    },
    {
      "name": "Description",
      "content": "<p>Your task in this competition is to predict if a person will default on a loan in the test.csv dataset. You will be given two datasets: train.csv (contains the features and Credit Default as a target) and test.csv (features only).</p>\n-----------------------------------------------------------------------------------------------------------------\n<p>Ваша задача этом соревновании - предсказать, отдаст ли заемщик кредит для датасета test.csv. Вам будут даны два датасета: train.csv (содержит признаки и целевую переменную Credit Default) и test.csv (только признаки).</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "\nThe evaluation metric is [F1 score](https://en.wikipedia.org/wiki/F1_score):\n<p>\\[ F1 = 2\\frac{p \\cdot r}{p+r}\\ \\ \\mathrm{where}\\ \\ p = \\frac{tp}{tp+fp},\\ \\ r = \\frac{tp}{tp+fn} \\]</p>\n---------------------------------------------------------------------------------------------------------------\n<p>The file should contain a header and have the following format:</p>\n<pre>Id,Credit Default<br />0,0<br /><span style=\"font-size: 14px; line-height: 1.4em;\">1,0<br />2,1<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">3,0<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}