{
  "fetched_at": "2026-10-20T11:20:55Z",
  "source_url": "https://www.kaggle.com/competitions/aiml-model-ops/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2>Context</h2>\nThe disease.csv has 14 columns. The gold is predict the presence of disease in the patient.\n\n<h2>Column Discription</h2>\n<ol>\n\n<li>age</li>\n<li>sex</li>\n<li>chest pain type (4 values)</li>\n<li>resting blood pressure</li>\n<li>serum cholestoral in mg/dl</li>\n<li>fasting blood sugar > 120 mg/dl</li>\n<li>resting electrocardiographic results (values 0,1,2)</li>\n<li>maximum heart rate achieved</li>\n<li>exercise induced angina</li>\n<li>oldpeak = ST depression induced by exercise relative to rest</li>\n<li>the slope of the peak exercise ST segment</li>\n<li>number of major vessels (0-3) colored by flourosopy</li>\n<li>thal: 3 = normal; 6 = fixed defect; 7 = reversable defect</li>\n</ol>",
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    {
      "name": "Description",
      "content": "This is a in-class data competition. We want you to build and optimized a supervised machine learning model, and to predict new unseen data.",
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    {
      "name": "Evaluation",
      "content": "Evaluation will be based on classification accuracy",
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      "postTitle": "",
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      "mimeType": "",
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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!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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