{
  "fetched_at": "2026-10-19T16:59:22Z",
  "source_url": "https://www.kaggle.com/competitions/Tow-Mater-Labs/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>This dataset contains details of 267k people and whether or not they agreed to buy an insurance for their vehicle from the same benefactor.</p>\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<h2>Data fields</h2>\n<ul>\n<li><strong>id</strong> - an anonymous id unique to a given person</li>\n<li><strong>blood_group</strong></li>\n<li><strong>Gender</strong></li>\n<li><strong>Age</strong></li>\n<li><strong>Driving_license</strong> - whether or not person has a license</li>\n<li><strong>Region_code</strong>- where person resides</li>\n<li><strong>Previously_insured</strong>- whether the person was insured previously or not</li>\n<li><strong>Vehicle_Age</strong></li>\n<li><strong>Vehicle_damage</strong>- If vehicle was ever damaged</li>\n<li><strong>Annual Premiuim</strong>- Premium paid for insurance annually</li>\n<li><strong>Policy_sales_channel</strong></li>\n<li><strong>Vintage</strong>-whether or not the vehicle is vintage</li>\n<li><strong>Mother's_age</strong></li>\n<li><strong>Father's_age</strong></li>\n<li><strong>Accepted</strong>- Whether they accepted the insurance or not</li>\n</ul>",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "<p>Our old pal Mater was worried that during the pandemic people are not taking as much care of their vehicles as they are taking care of themselves. In order to find out the truth, he contacted his good friend Harsh who owns a big insurance company to find out whether this is true. Harsh being generous as always decided that the best way to do this is to find out whether or not people would buy insurance for their beloved cars.\n<br>\n<br>\nHe asks you, the head of his data science team to find out. You have been provided with different features about people's previous insurance purchase and other details and you have to predict whether a person will be interested in buying the insurance or not.</p>\n <p>Are you up for the task?</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation pages describes how submissions will be scored and how students should format their submissions. You don't need a sub-title at the top (the page title appears above). For an example of a high quality evaluation page, see the 2013 KDD Cup page, which we have copied here:</p>\n<hr>\n<p>The evaluation metric for this competition is <a href=\"https://www.kaggle.com/wiki/MeanFScore\"> Mean 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>\n<h2>Submission Format</h2>\n<p><strong>For every Person in the dataset</strong>, submission files should contain two columns: Id and Accepted.</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id,accepted<br>1,1<br></pre>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}