{
  "fetched_at": "2026-10-20T10:12:06Z",
  "source_url": "https://www.kaggle.com/competitions/diabetes-prediction-from-medicalrecords/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You can see three files provided, train.csv, test.csv, and sample_submission.csv. train.csv can be utilized as per your convenience and methodologies. The score will be checked using your predictions on test.csv. sample_submission.csv has the format with which you have to submit your predictions.\n\n\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n\n",
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      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The F-score will be the primary criterion for evaluation. Participants should concentrate on several error metrics, such as ROC, accuracy, precision, recall, etc., as this is a classification task. For future reference, a qualitative study based on these measures will also be beneficial.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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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 - Have fun!\n - Learn, grow, implement!\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "abstract",
      "content": "This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.\nThe datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on. Specifically, the training dataset has columns Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, and Outcome. The testing dataset has these same columns but does not contain the column 'Outcome'. This is the column that you predict yourself!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}