{
  "fetched_at": "2026-10-19T22:26:20Z",
  "source_url": "https://www.kaggle.com/competitions/bankdirectmarketing/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<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>sample_submission.csv</strong> - a sample submission file in the correct format</li>\n<li><strong>data description.txt</strong> - supplemental information about the data</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<p>This is a modified version of the marketing dataset posted on UCI repository by a Portuguese bank. The original dataset has been stressed significantly so that the rows can't be traced back to the original one.\n\nThe competition is related to a direct marketing campaign where the goal is to predict if a client will subscribe a term deposit or not</p>",
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    {
      "name": "Evaluation",
      "content": "<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>The file should contain a header and have the following format:</p>\n<pre>RecordID,subscribe<br>14664,no<br></pre>",
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      "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 - Apply yourself!\n - Have fun!",
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}