{
  "fetched_at": "2026-10-24T05:51:45Z",
  "source_url": "https://www.kaggle.com/competitions/data-100-spring-2020-project-2/data",
  "pages": [
    {
      "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 - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "Spam/ham data.\n\n- id : observation ID\n- subject : email subject\n- email : email text\n- spam : 0 (ham) or 1 (spam), not in test.csv",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "This is the Kaggle competition for UC Berkeley Data 100 Project 2, Spring 2020. The problem statement is available on the project files. There is no private test set; all test data are viewable via Kaggle.\n\nFirst, join the competition by clicking the \"Join Competition\" button.\n\nTo submit predictions, use the blue \"Submit Predictions\" button on the top right.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "You will be graded on the accuracy of your model on the test data, as indicated in the project notebook. However, since we do not want students to see the test data labels, we compute your accuracy on the test data in a hidden test. This Kaggle submission is for you to see what your accuracy on the test data is. Note that the accuracy shown by Kaggle is the accuracy on a random subset of the test data, not all of it.\n\nIt is not required for you to submit to Kaggle to receive credit for the project; Kaggle is merely a way for you to check what your test accuracy is, since our project notebook will not tell you.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}