{
  "fetched_at": "2026-10-19T23:22:07Z",
  "source_url": "https://www.kaggle.com/competitions/deep-health-3/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.<br />Participants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acroynms will I encounter?</p>\r\n<h3>File descriptions</h3>\r\n<p>train.csv - the training set<br />test.csv - the test set<br />sampleSubmission.csv - a sample submission file in the correct format<br />metaData.csv - supplemental information about the data<br />etc...</p>\r\n<ul>\r\n<li></li>\r\n</ul>",
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    {
      "name": "Description",
      "content": "<p>Predict the next re-admission to the hospital for diabetes.  </p>\r\n<p>Look at the sample solution to see which column to evaluate. </p>\r\n<p>This competition is for those attending the Deep Health Hackathon.</p>\r\n<p>This dataset is ranked difficulty 3 for the hackathon. Please refer to the criteria slide for more information on difficulty.</p>\r\n<p>Your final presentation should walk through the complete data process<br />pipeline and show the weight and relationships of variables on predicting<br />the health risk.</p>",
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    {
      "name": "Evaluation",
      "content": "<p>Evaluation Model</p>\r\n<p>Using Multi-Class Regression Model</p>\r\n<p><br />Submission Format<br />See the sample_solution.csv file for the submission format</p>",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.<br />Participants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acroynms will I encounter?</p>\r\n<p><strong>File descriptions</strong><br />train.csv - the training set<br />test.csv - the test set<br />sampleSubmission.csv - a sample submission file in the correct format<br />metaData.csv - supplemental information about the data</p>",
      "isPublished": false,
      "hasIsPublished": false,
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}