{
  "fetched_at": "2026-10-20T07:39:06Z",
  "source_url": "https://www.kaggle.com/competitions/classified/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **water_quality_train.csv** - the training set\n*   **water_quality_test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format",
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    {
      "name": "Description",
      "content": "Follow the guidelines and create a binary classification model",
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    {
      "name": "Evaluation",
      "content": "Submissions are evaluated on [accuracy]\n\n## Submission File\nFor each Station Code in the test set, you must predict the Drinkablility variable. The file should contain a header and have the following format:\n\n    Station Code,Drinkable\n    2,Drinkable\n    5,Not Drinkable\n    6,Drinkable\n    etc.",
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    {
      "name": "rules",
      "content": " - You will get your certificates on the basis of whether you have made a legitimate submission or not, your accuracy won't be considered\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
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    {
      "name": "abstract",
      "content": "This competition is a part of the CLASSIFIED workshop.",
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