{
  "fetched_at": "2026-10-20T03:55:46Z",
  "source_url": "https://www.kaggle.com/competitions/codeophomecreditdefaultrisk/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This competition has two main data files: - train.csv: this file contains all the data where the target is present. - test.csv: this file contains only the feature values that you will need to generate predictions and create a submission file. I've also added two auxiliary files: - sample_submission.csv: this file contains an example of how a submission should look like for Kaggle to take it. - HomeCredit_columns_description.csv: this file contains information on the columns of the train and test csv files.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "Description",
      "content": "This kaggle-in-class is a simpler replica of [this other competition](https://www.kaggle.com/c/home-credit-default-risk). It only uses one of the sources of data, the one present on the 'application' csv file. The data contains a bunch of information from conceded loans. The target 'default' is a binary variable that takes value 1 if the person was not able to repay the loan and 0 otherwise. For more detailed information, you can check their website.\n\nThis particular competition will be evaluated computing the accuracy score.\n\nThe objective of this competition is to get familiar with kaggle competitions, the end-to-end flow of machine learning projects and apply the content we see in class while we see its impact on a real dataset.\n\nUp until now we've already seen the basics of supervised learning and classification problems, so you should be ready to already apply those.\n\nHave fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "This particular competition will be evaluated computing the accuracy score.\n",
      "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
    }
  ]
}