{
  "fetched_at": "2026-10-24T17:32:02Z",
  "source_url": "https://www.kaggle.com/competitions/cs6923fpleaderboard/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!",
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      "postTitle": "",
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    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>leaderboard_training.csv</strong> - the training set</li>\n<li><strong>leaderboard_test.csv</strong> - the test set</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>id_num</strong> - an anonymous id unique to a given student</li>\n<li><strong>quidditch_league_player</strong> - if a student qualify to be a quidditch league player</li>\n</ul>",
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    },
    {
      "name": "Description",
      "content": "<p>This is leaderboard for CS6923 Machine Learning course final project.</p>\n<p>You can run your code based on leaderboard training file and testing file. To join the competition, upload your prediction result in required format.</p>\n<h2>Submission Format</h2>\n<p>Your output must have just two columns: \"id num\" and \"quidditch league player\" (the output). INCLUDE a row at the top of your output file with the column headers, \"id num, quidditch league player\". Each row of the output file, after the row with the column headers, should have the Id of the example in the test file, with the predicted value for the class. (Do NOT change the Id numbers of any of the examples.) Because your output file should be in .csv format, there should be a comma between the entries in the two columns.<p>\n<p>Thus the first three rows of your test file should look something like this (with different Id numbers and different quidditch league player labels):<p>\n<p>id_num,quidditch_league_player<p>\n<p>58,NO<p>\n<p>289,YES</p>",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation pages describes how submissions will be scored and how students should format their submissions. You don't need a sub-title at the top (the page title appears above). For an example of a high quality evaluation page, see the 2013 KDD Cup page, which we have copied here:</p>\n<hr>\n<p>The evaluation metric for this competition is <a href=\"https://www.kaggle.com/wiki/MeanFScore\"> Mean F1-Score</a>. The F1 score, commonly used in information retrieval, measures accuracy using the statistics precision p and recall r. Precision is the ratio of true positives (tp) to all predicted positives (tp + fp). Recall is the ratio of true positives to all actual positives (tp + fn). The F1 score is given by:</p>\n<p>\\[ F1 = 2\\frac{p \\cdot r}{p+r}\\ \\ \\mathrm{where}\\ \\ p = \\frac{tp}{tp+fp},\\ \\ r = \\frac{tp}{tp+fn} \\]</p>\n<p>The F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.</p>\n<h2>Submission Format</h2>\n<p>Submission files should contain two columns: id_num and quidditch_league_player. </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id_num,quidditch_league_player<br>58,NO<br>289,YES<br></pre>",
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}