{
  "fetched_at": "2026-10-19T09:38:12Z",
  "source_url": "https://www.kaggle.com/competitions/beyond-analysis/data",
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    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>UNIQUE_IDENTIFIER</strong> - Unique ID of a customer</li>\n<li><strong>SEQUENCE_NO</strong> - Sequence number of the entries for each customer</li>\n<li><strong>STATUS_CHECK</strong> - Customer sanity check</li>\n<li><strong>CATEGORY_1</strong> - Customer segment 1</li>\n<li><strong>CATEGORY_2</strong> - Customer segment 2</li>\n<li><strong>ACTIVE_YN</strong> - Activity status</li>\n<li><strong>ENTRY</strong> - Entry chips needed</li>\n<li><strong>REVENUE</strong> - Revenue</li>\n<li><strong>WINNINGS_1</strong> - Total chips won</li>\n<li><strong>WINNINGS_2</strong> - Other chips won (subset of WINNINGS_1)</li>\n<li><strong>DISCOUNT</strong> - Discount offered</li>\n<li><strong>DEPOSIT</strong> - Chips purchased</li>\n<li><strong>DEPOSIT_NUMBER</strong> - Deposit number</li>\n<li><strong>DEPOSIT_2</strong> - Other deposit (subset of DEPOSIT)</li>\n<li><strong>WITHDRAW</strong> - Withdraw</li>\n<li><strong>WITHDRAW_NUMBER</strong> - Withdraw number</li>\n<li><strong>DEPOSIT_TRAILS</strong> - Deposit attempt</li>\n<li><strong>ENTRY_NUMBER</strong> - Contests participated</li>\n<li><strong>WINNINGS_NUMBER</strong> - Contests won</li>\n<li><strong>PRACTICE_ENTRY</strong> - Fun contests' entry chips </li>\n<li><strong>PRACTICE_WINNINGS</strong> - Fun contests chips won</li>\n<li><strong>PRACTICE_ENTRY_NUMBER</strong> - Fun contests participated</li>\n<li><strong>PRACTICE_WINNINGS_NUMBER</strong> - Fun contests won</li>\n</ul>",
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      "name": "Description",
      "content": "<p> Estimating customer value and extrapolating the existing value into future are the sought-after problems of any business. The current problem hails from the domain of online skill-based gaming. </p>\n\n<h2>About the Data</h2>\n\n<p>Provided feature space contains 22 variables spanning across multiple aspects of customer behavior. <br>Temporal variation is captured by a numbered sequence of entries for each customer. <br>The goal is to predict Y1 &amp; Y2 which represent customer value and temporal extrapolation respectively.<br>Each customer can have N sequenced entries as input and only one set of (Y1, Y2) is expected as output.</p>\n\n<h2>About Techniche</h2>\n\n<p> Techniche is the annual techno-management fest of IIT Guwahati and it is the largest of its kind in North East. In its 23rd edition with a footfall of 50,000 people and 50 Lakh+ hits on its website, it has impacted over 10 lakh people with its plethora of initiatives, competitions and its very own marathon. For more information: <a href=\"https://techniche.org/\"> Click here </a></p>\n\n<h2>Acknowledgements</h2>\n<p>We thank Head Digital for providing this dataset.</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.</p>\n<hr>\n<p>The evaluation metric for this competition is the Mean of <a href=\"https://en.wikipedia.org/wiki/Root-mean-square_deviation#Formula\">Root Mean Squared Error</a> of Y1 &amp; Root Mean Squared Error of Y2.</p>\n<h2>Submission Format</h2>\n<p><strong>For every author in the dataset</strong>, submission files should contain 3 columns: UNIQUE_IDENTIFIER, Y1 and Y2. </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>UNIQUE_IDENTIFIER, Y1 and Y2<br>9845,4.44,101.369<br>9878,5.04,125.308<br></pre>",
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    {
      "name": "rules",
      "content": "- In order to be eligible for grading you should change the team name to the one you used while registering or the ID you received by mail.\n- You are not allowed to make more than 10 submissions a day. You can select 2 best submissions for grading on Private leaderboard\n- Use of External Data is not allowed, you are only supposed to use the dataset provided by us\n- Top submissions will have to send their IPython Notebooks to us so that we can verify that no rule of the competition was violated\n- Use of AutoML is strictly prohibited.\n- Don't cheat!\n- Don't Use Multiple accounts for submissions\n- Apply yourself!\n- Violation of any rules stated will strictly lead to disqualification (without any warnings) \n\n### IMPORTANT\nMake sure your submission files have the same shape as the sample submission given. There may be multiple entries with the same UNIQUE_IDENTIFIER in the datasets, it is upto the participants to pipeline the estimations and submit the final predictions for each UNIQUE_IDENTIFIER.\n\nHave fun!",
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