{
  "fetched_at": "2026-10-23T04:27:06Z",
  "source_url": "https://www.kaggle.com/competitions/10botics-titantic/data",
  "pages": [
    {
      "name": "data-description",
      "content": "https://www.kaggle.com/competitions/titanic/data",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "Description",
      "content": "The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.\n\n",
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      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "Evaluation",
      "content": "## Goal\nIt is your job to predict if a passenger survived the sinking of the Titanic or not.\nFor each in the test set, you must predict a 0 or 1 value for the variable.\n\n## Metric\nYour score is the percentage of passengers you correctly predict. This is known as accuracy.\n\n## Submission File Format\nYou should submit a csv file with exactly 418 entries plus a header row. Your submission will show an error if you have extra columns (beyond PassengerId and Survived) or rows.\n\nThe file should have exactly 2 columns:\n\n- PassengerId (sorted in any order)\n- Survived (contains your binary predictions: 1 for survived, 0 for deceased)\n```\nPassengerId,Survived\n892,0\n893,1\n894,0\n```\n",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
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}