{
  "fetched_at": "2026-10-20T10:10:27Z",
  "source_url": "https://www.kaggle.com/competitions/disease-classification-challenge/data",
  "pages": [
    {
      "name": "rules",
      "content": " - Помолицця перед першим сабмітом!!!\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "<p>The Bohdan Віталійович will explain all necessary details during the practice</p>\n\n<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>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n\n<h2>Data fields</h2>\n<ul>\n    <li><strong>Pregnancies:</strong> Number of times pregnant </li>\n    <li><strong>Glucose:</strong> Plasma glucose concentration over 2 hours in an oral glucose tolerance test </li>\n    <li><strong>BloodPressure:</strong> Diastolic blood pressure (mm Hg) </li>\n    <li><strong>SkinThickness: </strong> Triceps skin fold thickness (mm) </li>\n    <li><strong>Insulin:</strong> 2-Hour serum insulin (mu U/ml) </li>\n    <li><strong>BMI:</strong> Body mass index (weight in kg/(height in m)2)</li>\n    <li><strong>DiabetesPedigreeFunction:</strong> Diabetes pedigree function (a function which scores likelihood of diabetes based on family history) </li>\n   <li><strong>Age:</strong> Age (years)</li>\n   <li><strong>Outcome:</strong> Class variable (0 if non-diabetic, 1 if diabetic)</li>\n</ul>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<p><strike>Аналітики VS Компуторщики батл</strike></p>\n<p> Kaggle in class competition just to introduce more coding practice during your practical lessons(as you wished). </p>\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://en.wikipedia.org/wiki/F1_score\"> F1-Score</a>. The F1 score, commonly used in information retrieval, measures accuracy using the statistics precision p and recall r. Precision is the ratio of true positives (tp) to all predicted positives (tp + fp). Recall is the ratio of true positives to all actual positives (tp + fn). The F1 score is given by:</p>\n<p>\\[ F1 = 2\\frac{p \\cdot r}{p+r}\\ \\ \\mathrm{where}\\ \\ p = \\frac{tp}{tp+fp},\\ \\ r = \\frac{tp}{tp+fn} \\]</p>\n<p>The F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Timeline",
      "content": "Your timeline is the end of our lesson.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Prizes",
      "content": "<img src=\"https://images-na.ssl-images-amazon.com/images/I/819joifPokL._SL1500_.jpg\", >\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "COLAB Notebook",
      "content": "No kernel requirements as you will use Colab.\n\nhttps://colab.research.google.com/drive/1OlVKXrsFP3XL3kTg0hW6OF1lOP2GDwcm?usp=sharing\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}