{
  "fetched_at": "2026-10-20T10:51:39Z",
  "source_url": "https://www.kaggle.com/competitions/gt-cse6250-fall-2020-hw5/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Use the data files provided in our Homework 5. Below gives a sample submission file.\n\n## File descriptions\n* kaggle_sample_solution.csv - a sample submission file in the correct format\n\n## Data fields\n* SUBJECT_ID - an anonymous id unique to a given patient\n* MORTALITY - a predicted probability of mortality",
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    },
    {
      "name": "Description",
      "content": "\n**A gatech.edu email address is required to participate.**\n   \nFollow the sign-up direction using your GT email address, or if you already have an account, change the email on your existing account via your profile settings so that you can participate. Make sure your display name (not necessarily your username) matches your GT account username so that your Kaggle submission can be linked to the grading system.\n   \nIn the homework5.pdf, we ask you to improve the performance of your RNN model with variable-length sequences on mortality prediction. In this challenge, you will submit your my_predictions.csv to compete with your classmates.\n   \nYou will be required to submit the predicted labels for the test patients. After you submit, your accuracy on 50% of the test dataset will be visible to the class on the public leaderboard. You can use this accuracy as a sanity check to make sure your classifier is performing as intended and improve your model.",
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    {
      "name": "Evaluation",
      "content": "The file should contain a header and have the following format:\n\nSUBJECT_ID, MORTALITY\n1, 0.5432\n8, 0.9123\n9, 0.1251\n10, 0.3253\netc.",
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    },
    {
      "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!",
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      "hasIsPublished": false,
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  ]
}