{
  "fetched_at": "2026-10-20T08:38:09Z",
  "source_url": "https://www.kaggle.com/competitions/enigma-2021-day-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h1>Enigma 2021 Prometheus X : Breaking Monopolies</h1>\n<h2>DAY 2</h2>\n\n<p>Your previous endeavours bore fruit. With your help, the investigators have traced the products identified as counterfeit, and they have narrowed it down to what they believe are the Mafia owned factories. You have been given data collected by these investigators. You must come up with a way to show that the profits earned far exceed the ideal profit earned by a company creating original products, considering the use of high-quality raw material. Use the data from the other factories to predict the ideal profit to prove the fraudulence of these companies.\n\n</p><p>You need to predict the ideal profit earned by each factory showing the discrepancy, giving you the evidence to shut down the Mafia operations.\n\n\n</p>\n<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>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li>Id : Unique key for each tuple.\n<li>Area (km^2) : Area of the factory.\n<li>Investigated Before : Whether the factory has been under investigation by the authorities, before private investigators.\n<li>Years of Operation : The number of years of operation of the factory.\n<li>24Hr Power : Constant supply of electricity or not.\n<li>Location : The location of the factory.\n<li>Profit : The ideal profits that should be earned (in millions of dollars). This is the output.\n\n</ul>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<h1>Enigma 2021 Prometheus X : Breaking Monopolies</h1>\n<h2>DAY 2</h2>\n\n<p>Your previous endeavours bore fruit. With your help, the investigators have traced the products identified as counterfeit, and they have narrowed it down to what they believe are the Mafia owned factories. You have been given data collected by these investigators. You must come up with a way to show that the profits earned far exceed the ideal profit earned by a company creating original products, considering the use of high-quality raw material. Use the data from the other factories to predict the ideal profit to prove the fraudulence of these companies.\n\n</p><p>You need to predict the ideal profit earned by each factory showing the discrepancy, giving you the evidence to shut down the Mafia operations.\n</p>\n<p>Link to Day 1 : https://bit.ly/3v5le2c</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "<p>You need to submit your predicted data in the exact format of the given sample submission \n</p><hr>\n<p>You will be evaluated based on your rmse scores.\n</p><hr>\n<p>In case of a tie in scores, the one who has submitted earlier shall be considered the victor.\n</p><hr>\n<p>The final standings will be based on both public and private leaderboard\n\n</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "<h2>RULES:</h2>\n<p>One account per participant\n<p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n<hr>\n<h3>Eligibility</h3>\n<p>The competition is open to all Undergraduates. Please fill this form to participate https://forms.gle/wiwCA6PxaJtX1LxNA\n\n<p>No private sharing to others\n<p>Privately sharing code or data to anyone else is not permitted.\n<hr>\n<h3>Team Limits</h3>\n<p>This is an individual participation competition.\n<hr>\n\n<h3>Submission</h3>\n<p>Train your model on the training dataset that has been provided and upload a CSV file containing predictions of your test set. \n\n<p>Follow the format given in sample submission.\n\n\n<p>Do not submit your notebook as it is visible to all other participants in the competition. Submit your CSV file only.\n\n<p>Only the best submission will be considered for a participant.\n\n<p>Only the top 5 performers need to send their notebooks when asked.\n<hr>\n<h3>Submission Limits</h3>\n<p>Limit of 20 submissions per day.\n<hr>\n<h3>Competition Timeline</h3>\n<p>Start Date: 8th June, 6:00 pm IST\n\n<p>End Date: 9th June, 6:00 pm IST\n<hr>\n<h3>Winner</h3>\n<p>The winners will be declared after viewing scores across all 2 days and datasets.\n<p>The prizes will be given to only the first three positions secured by MIT students.\n<hr>\n<p><b>For queries contact</b>\n<p>Soham Tiwari : 9930735850\n<p>Deepak George : 7619362211\n<hr>\n<b><p>Note\n<p>Submitting a file that isn’t your own may result in the disqualification of the participant.\n</b>\n<hr>\n<p><b>ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULE",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}