{
  "fetched_at": "2026-10-20T09:00:28Z",
  "source_url": "https://www.kaggle.com/competitions/2023-tragedi-titanic/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>\n</ul>",
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      "postTitle": "",
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    {
      "name": "Description",
      "content": "Hello guys, this is a warm-up session for you to get to know the Kaggle environment.\n\nHave fun!",
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    {
      "name": "Evaluation",
      "content": "Accuracy\n\n\n## 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\nID,survived\n1,1\n2,0\n3,1\n4,1\n5,0",
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    },
    {
      "name": "rules",
      "content": "Dont cheat on your friend solution, <br>\nHave Fun",
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      "postTitle": "",
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    },
    {
      "name": "abstract",
      "content": "The Titanic competition involves a data mining challenge where participants analyze a dataset containing information about Titanic passengers. The objective is to identify patterns and correlations between passenger attributes (such as age, gender, and ticket class) and survival outcomes. Participants leverage data mining techniques to develop predictive models for classifying passengers into survival categories. This competition provides a practical platform for demonstrating expertise in data mining by extracting meaningful insights and making accurate predictions based on historical data",
      "isPublished": false,
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}