{
  "fetched_at": "2026-10-19T21:15:03Z",
  "source_url": "https://www.kaggle.com/competitions/coin-flips-section-2/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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    },
    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train_file.csv</strong> - the training set</li>\n<li><strong>test_file.csv</strong> - the test set</li>\n<li><strong>sample_ubmission.csv</strong> - a sample submission file in the correct format</li>\n<li>etc...</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>id</strong> - the id for the coin</li>\n<li><strong>flipn</strong> - the flip number</li>\n<li><strong>result</strong> - the results of the 11th flip</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<p>Welcome to the second data competition of the Spring 2020 Stat_380 course. Your task for this weeks is to set up a project file structure on your local machine, work through building a simple model to predict the result of the next coin flip of all 100,000 coin flips in this dataset, then upload your predictions here. This competition is designed to introduce you to the full data science workflow as well as some important ideas surrounding logistic regression, classification and later on, regularization.</p>",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://en.wikipedia.org/wiki/Cross_entropy#Cross-entropy_error_function_and_logistic_regression\"> Log-Loss</a>.</p>\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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      "hasMimeType": false
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  ]
}