{
  "fetched_at": "2026-10-20T13:20:08Z",
  "source_url": "https://www.kaggle.com/competitions/data-mining2022-testing/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n\n## Columns\n\n*   `Id` - Sample ID\n*   `Species` - Labels of Samples\n*   `SepalLengthCm` - Feature_1\n*   `SepalWidthCm` - Feature_2\n*   `PetalLengthCm` - Feature_3\n*   `PetalWidthCm` - Feature_4\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "## Big data and data mining-exp0-testing\n```\nprint('This is a testing example of our course \"Big Data and Data Mining\"')\n```\n## Acknowledgements\n\nWe thank UCI for providing this dataset.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is [Average]\n## Submission Format\n\n**For every author in the dataset**, submission files should contain two columns: `Id` and `The evaluation metric for this competition is [Average]\n## Submission Format\n\n**For every author in the dataset**, submission files should contain two columns: `Id` and `Species`. \n\n\nThe file should contain a header and have the following format:\n```\nId,Species\n1,1\n```",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}