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  "fetched_at": "2026-10-19T22:29:40Z",
  "source_url": "https://www.kaggle.com/competitions/cs725-2021a-assgmt1/data",
  "pages": [
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      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>dev.csv</strong> - the validation set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>latitude</strong> -  Center of 1km fire pixel but not necessarily the actual location of the fire as one or more fires can be</li>\n<li><strong>longitude</strong> - Center of 1km fire pixel but not necessarily the actual location of the fire as one or more fires can be</li>\n<li><strong>brightness</strong> - Channel 21/22 brightness temperature of the fire pixel measured in Kelvin.</li>\n<li><strong>scan</strong> - The algorithm produces 1km fire pixels but MODIS pixels get bigger toward the edge of scan. Scan</li>\n<li><strong>track</strong> - The algorithm produces 1km fire pixels but MODIS pixels get bigger toward the edge of scan. Scan</li>\n<li><strong>acq_date</strong> - Date of MODIS acquisition.</li>\n<li><strong>acq_time</strong> - Time of acquisition/overpass of the satellite (in UTC).</li>\n<li><strong>satellite</strong> - A = Aqua and T = Terra.</li>\n<li><strong>instrument</strong> - Constant value for MODIS.</li>\n<li><strong>confidence</strong> -This value is based on a collection of intermediate algorithm quantities used in the detection process.</li>\n<li><strong>version</strong> - Version identifies the collection (e.g. MODIS Collection 6) and source of data processing: Near</li>\n<li><strong>bright_t31</strong> - Channel 31 brightness temperature of the fire pixel measured in Kelvin.</li>\n<li><strong>daynight</strong> - D = Daytime, N = Nighttime</li>\n<li><strong>frp</strong> - <em>(Target Variable)</em> Fire Radiative Power: Depicts the pixel-integrated fire radiative power in MW (megawatts)</li>\n</ul>",
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      "name": "Description",
      "content": "<h2> <b>Programming Assignment: Linear Regression <b></b></b></h2><b><b>\n<p>Implement a linear regression predictor from scratch to predict the fire radiation power of various fires in Australia. More about the assignment has been posted on Moodle.</p>\n\n<p>Please click on the \"Evaluation\" tab on the left for evaluation details. Feel free to ask questions about the task on Moodle or Teams.</p>\n\n<hr>\n\n<h2>One account per group</h2>\n<ul>\n  <li>You cannot sign up to Kaggle using multiple accounts and therefore you cannot submit from multiple accounts</li>\n  <li>You must have one of your teammates' <b>LDAP ID</b> (say 213050000) as your <b>Public name</b> until the contest ends.</li>\n</ul>\n\n<h2>No private sharing among students</h2>\n<ul>\n  <li>Privately sharing code or data is not permitted. <b>Violation of this can lead to serious academic punishments.</b></li>\n</ul>\n\n<h2> Submission Limits </h2>\n<ul>\n  <li>You may submit a maximum of 15 entries per day.</li>\n  <li>You may select up to 2 final submissions for judging.</li>\n</ul>\n\n<h2>Competition Timeline</h2>\n<p>Start Data: <b>5 pm on 23 August, 2021</b></p>\n<p>End Date: <b>11:55 pm on 9 September, 2021</b></p>\n<p>Submissions will be accepted until <b>11:55 pm on 10 September, 2021</b> with a 10% late penalty</p>\n\n<p>....</p></b></b>",
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    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://en.wikipedia.org/wiki/Root-mean-square_deviation\">RMS Error</a>. \n\n</p><h2>Public Leaderboard is evaluated only on 30% of the test data, remaining 70% will be evaluated after the contest ends</h2>\n\n<h2>Submission Format</h2>\n<p>For every row in the test dataset, there should be two columns in the output.csv file: <b>Id and target</b>. The order of the results should be kept the same.</p>\n<pre>Id, target\n0,10\n1,2\n2,0\n3,5\n.\n.\n.\n15000, 18\n</pre>",
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    {
      "name": "rules",
      "content": "Rules that participants must accept before joining:\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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