{
  "fetched_at": "2026-10-20T00:15:47Z",
  "source_url": "https://www.kaggle.com/competitions/flight-delays-fall-2018/data",
  "pages": [
    {
      "name": "rules",
      "content": " 1. Using additional data is prohibited \n 2. Maximum team size is 1\n 3. Team merges are not allowed\n 4. Deadline for mlcourse.ai A2 – October 6, 2019 20:59 CET (London time)\n 5. Do not spoil the competition by sharing high-quality kernels (let's keep Public LP ROC AUC < 0.75)\n 6. To get credits in mlcourse.ai you have to beat all benchmarks on public LB and rename your team according to the mlcourse.ai [rating](https://bit.ly/2mbv5FF)",
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    },
    {
      "name": "data-description",
      "content": "- flight_delays_train.csv – training set\n- flight_delays_test.csv – test set\n- sample_submission.csv\n\nFeatures:\n\n- Month, DayofMonth, DayOfWeek\n- DepTime – departure time\n- UniqueCarrier – code of a company-career\n- Origin – flight origin\n- Dest – flight destination\n- Distance, distance between Origin and Dest airports \n- dep_delayed_15min – target",
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    {
      "name": "Description",
      "content": "Predict whether a flight will be delayed for more than 15 minutes.",
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    },
    {
      "name": "Evaluation",
      "content": "Target metric is ROC AUC.",
      "isPublished": false,
      "hasIsPublished": false,
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}