{
  "fetched_at": "2026-10-20T09:40:11Z",
  "source_url": "https://www.kaggle.com/competitions/airline-satisfaction-g6/data",
  "pages": [
    {
      "name": "data-description",
      "content": "data-description'",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric is accuracy for this competition.\n\nSubmission Format\n\nFor every customer in the dataset, submission files should contain 2 fields - acctnum of the customer and whether the customer is a buyer of the White Truffle Risotto meal.\n\nThe file should contain a header and have the following format:\n\nacctnum,buyer\n1,0",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "rules",
      "content": "\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Save your fnal classifcations into a separate csv file that has only two columns. The first column is\n'acctnum', which shows the account numbers of the test observations and the second column is 'buyer', which\nshows your class predictions of the test observations.\n\nUpload the csv file to Kaggle\n\nYou will see the Accuracy of your classifcations after each submission.\nYou may make as many submissions as you like, but you only need to report your best Accuracy for each\nmethod.Insert text here. Please use markdown. final project",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    }
  ]
}