{
  "fetched_at": "2026-10-24T13:26:40Z",
  "source_url": "https://www.kaggle.com/competitions/fare-classification-2020/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>Use <strong>train.csv</strong> file  to train the model and test it. You can split the data to test/train as required for model building. Then you are expected to classify <strong>test.csv</strong> trips. Your submission should be in the format of <strong>sample_submission.csv</strong> as described</p>",
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    {
      "name": "Description",
      "content": "<p>Training dataset consists of a sample tuk rides completed. Nearly 10% of the fares are incorrect. The aim should be to train a model based on the given dataset and predict whether the fare of a new set of trips is correct or not.</p>",
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    {
      "name": "Evaluation",
      "content": "<p>Submissions will be evaluated based on their <a href=\"https://en.wikipedia.org/wiki/F1_score\"> macro F1 score </a> </p>\n<p>For each tripId in the test set, you must predict whether the fare is correct (1) or incorrect(0)<p>\n<p> The file should contain a header and have the following format:</p>\n<pre>tripid,prediction<span style=\"font-size: 14px; line-height: 1.4em;\"><br/>189123628,1 <br\\><br />189125358,1<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">189125719,1<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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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!",
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