{
  "fetched_at": "2026-10-20T05:11:51Z",
  "source_url": "https://www.kaggle.com/competitions/gvu-spring-2024-project-1/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n## Columns\n\nFor detailed feature description, see this [site](https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success)",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "Submissions are evaluated on accuracy.\n\n## Submission File\nFor each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:\n\n    id,Target\n    1,Graduate\n    2,Dropout\n    3,Enrolled\n    etc.",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Try your best to make improvements day after day \n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "Welcome to first project of DATA-448 in Spring-2024. In this project, students will build classification models to predict a categorical variable.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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  ]
}