{
  "fetched_at": "2026-10-20T03:16:28Z",
  "source_url": "https://www.kaggle.com/competitions/classification-data-challenge/data",
  "pages": [
    {
      "name": "data-description",
      "content": "There are three CSV files.  In the train.csv file, 'Buy' is the target variable containing values 0 and 1. When Buy = 0, it means that the customer didn't click 'Buy'. When Buy = 1, it means that the customer did click 'Buy'. Each customer is uniquesly identified by 'Id' column in the train.csv and test.csv files. A sample submission file named 'submission.csv' is also provided for reference. This CSV file should contain only two columns - Id and Predicted.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "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 - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "This data challenge involves classification task. The target variable is whether a customer will click 'Buy' on a website. Buy = 0 and Buy = 1 indicate 'no' and 'yes' respectively. Independent variables capture customer background and customer website navigation behavior information. First variable in the train.csv data file identifies each customer uniquely.\n\nThe challenge is to correctly predict if a customer will click 'buy' on a website.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}