{
  "fetched_at": "2026-10-19T22:46:58Z",
  "source_url": "https://www.kaggle.com/competitions/dslab-kaggle-competition-fall-21/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The data may contain a few tricks. Explore and describe what you find\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Welcome to the in-class Kaggle competion. \nDo your best to make the best predictions by the closing time of the competition. \nWrite a report that indicates what you tried, what worked and what did not. \nYou will be scored based on your private and public leaderboard score but also on your creativity on trying various ideas. \n\nThis is a binary classification competition. The meanings of the features were not revealed by the data provider for privacy reasons. \nThe metric you are evaluated as is called Area Under the Curve (AUC). It is a binary accuracy metric that works well even for unbalanced problems. We will explain how the metric works in class. \n\n\n\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric will be AUC.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Done by one person at a time- no collaboration or communication. Public communication with everyone on piazza is fine but you can keep it limited.\nCounts for 20% of the grade.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}