{
  "fetched_at": "2026-10-19T19:51:15Z",
  "source_url": "https://www.kaggle.com/competitions/give-me-some-credit/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This section is composed of:\n\n- Data Dictionary: description of the variables\n- sample_submission: example of the submission file. Two columns (Id and SeriousDlqin2yrs). The submission file must have this two columns and the number of rows of the test set.\n- test: file that will be evaluated by the organizers of the competition. FILE WITH NO LABELS\n- train: file that you'll use for training your models.",
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    {
      "name": "Description",
      "content": "Banks play a crucial role in market economies. They decide who can get finance and on what terms and can make or break investment decisions. For markets and society to function, individuals and companies need access to credit. \n\nCredit scoring algorithms, which make a guess at the probability of default, are the method banks use to determine whether or not a loan should be granted. This competition requires participants to improve on the state of the art in credit scoring, by predicting the probability that somebody will experience financial distress in the next two years.\n\nThe goal of this competition is to build a model that borrowers can use to help make the best financial decisions.\n\n**THE COMPETITION STARTS RIGHT NOW AND ENDS AT 1:30 PM**. Solutions will be presented until 2:00 PM",
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    {
      "name": "Evaluation",
      "content": "AUC (Area Under the Curve)\n\n1. You must create a Team with your mates\n2. Develop your best model with the train.csv dataset\n3. Once it is developed, predict with the test.csv\n4. Send predictions. Send a file from the *Submit Predictions* tab.\n\n**Requirements of the submission file:**\n- Name of the file: doesn't matter\n- Number of observations: the same as test.csv\n- Columns: Id and SeriousDlqin2yrs\n- Id: the Id of each row of the test.csv file\n- SeriousDlqin2yrs: the *predict_proba* of the model. Make sure that your model is able to use the *predict_proba* method.\n\nYou have a dataset called \"sample_submission.cvs\" with an example of what you have to send\n",
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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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    },
    {
      "name": "Prizes",
      "content": "Winners will be invited to a round at the Marquina Theater",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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  ]
}