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  "fetched_at": "2026-10-20T05:11:25Z",
  "source_url": "https://www.kaggle.com/competitions/gis-iii-machine-learning-lab-2019/data",
  "pages": [
    {
      "name": "rules",
      "content": "<h2>Team Limits</h2>\nYou should do it individually.\n\n<h2>Submission Limits</h2>\nYou may submit a maximum of 20 entries per day. \nYou may select up to 5 final submissions for judging.",
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      "name": "data-description",
      "content": "<h3>Data Sources </h3>\n-  <b>train.csv</b> : Contains the training data that you need.  \n</br>\n-  <b>test_withoutLabel.csv </b> : Contains the data that you need to predict. The prediction results need to be submitted for the in-class competition.  \n</br>\n-  <b>sampleSubmission.csv </b>: A sample of what you should upload for the competition. The sample submission file contains the results from a dummy model. ",
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      "name": "Description",
      "content": "Bike sharing systems allows automated bike renting and returning via a network of kiosk located throughout the city. The data generated by these systems is explicitly recorded and could be used for analysis. Bike sharing systems therefore function as a sensor network, which can be used for studying mobility in a city. Now, we have collected the historical usage patterns with weather data and decided to use it for forecasting bike rental demand in the city.\n<hr>\n\n###Acknowledgements\nThe dataset used in this lab was provided by Hadi Fanaee Tork using the data from Capital Bikeshare.\n[Fanaee-T, Hadi, and Gama, Joao, Event labeling combining ensemble detectors and background knowledge, Progress in Artificial Intelligence (2013): pp. 1-15, Springer Berlin Heidelberg.].\n\nIcons made by Freepik from www.flaticon.com is licensed by CC 3.0 BY",
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    {
      "name": "Evaluation",
      "content": "<h2>Evaluation</h2>\nSubmissions are evaluated one the Root Mean Squared Error (RMSE). You could find your submission scores in **public leaderboard** (calculated with 40% of the test data) and **private leaderboard** (calculated with 60% of the test data after the deadline of this competition).\n\n<h2>Submission Format</h2>\n<p>Your submission file must have a header and should be structured in the following format:</p>\n<pre>datetime,count<br />2011-01-20 00:00:00,0<br /><span style=\"font-size: 14px; line-height: 1.4em;\">2011-01-20 01:00:00,0<br />2011-01-20 02:00:00,0<br />....<br />....</span></pre>",
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