{
  "fetched_at": "2026-10-20T08:59:32Z",
  "source_url": "https://www.kaggle.com/competitions/electric-production-forecasting/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## File descriptions\n- train.csv - the training set\n- test.csv - the test set\n- submit.csv - a sample submission file in the correct format\n\n## Data fields\n- ID - a sequence number\n- Date - a data collection day\n- Power (MW) - a result of electric production",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Electric production data",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is mean absolute error.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "- The team name at the Team Tab in Kaggle must be set as your student ID.\n- Submit answers a total of 10 times a day.\n- You will get points based on the error you achieve:\n1. Error <= 50 🥇  \t        get 15%,  \n1. Otherwise 🥈  \t                get  (15 - (error-50)/5)% \n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}