{
  "fetched_at": "2026-10-19T07:54:54Z",
  "source_url": "https://www.kaggle.com/competitions/churn-prediction-25-26/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **train.parquet** - the training set\n*   **test.parquet** - the test set\n*   **submission.csv** - a sample submission file in the correct format\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Churn data for audio streaming",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "## 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```python\nid,target\n1128274,0\n1782451,1\n1611542,1\n1241663,0\n1653104,1\n1486416,1\n    etc.\n```\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
    },
    {
      "name": "abstract",
      "content": "Overview",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}