{
  "fetched_at": "2026-10-20T01:38:02Z",
  "source_url": "https://www.kaggle.com/competitions/air-quality-prediction/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- No - a sequence number\n- DEWP - a dew point\n- TEMP - a temperature\n- PRES - a pressure\n- cbwd - a combined wind direction\n- Iws - a cumulated wind speed\n- Is - a cumulated hours of snow\n- Ir - a cumulated hours of rain\n- AQI - a result of the air quality index",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "Use time-series meteorological data to predict the air quality index (AQI).\n\n## How to submit a result\n1. Participants must click Join Competition.\n2. Click I understand ...\n3. You must name the team at the Team Tab as your student ID. \n4. Click Submit Predictions.\n5. Upload the submission file (submit.csv) according to the submission file format.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is the Mean Absolute Error (MAE). It is an evaluation metric used with regression models.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "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 20 times a day.\n- You will get points based on the error you achieve:\n1. Error <= 20 🥇  \t        get 15%,  \n1. Otherwise 🥈  \t                get  (15 - (error-20)/5)% \n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}