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  "fetched_at": "2026-10-19T18:54:26Z",
  "source_url": "https://www.kaggle.com/competitions/2025-2-data-solution-p-03/data",
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      "name": "data-description",
      "content": "# Dataset Description\nThis dataset contains a large number of 32 x 32 thumbnail images containing aerial photos of a columnar cactus (Neobuxbaumia tetetzo). Kaggle has resized the images from the original dataset to make them uniform in size. The file name of an image corresponds to its id.\n\nYou must create a classifier capable of predicting whether an images contains a cactus.\n\n## Files\n- **train/** - the training set images\n- **test/** - test set images (you must predict the labels of these)\n- **train.csv** - the training set labels, indicates whether the image has a cactus (has_cactus = 1)\n- **sample_submission.csv** - a sample submission file in the correct format",
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    {
      "name": "Description",
      "content": "## Chapter 11 - [경진대회] 항공 사진 내 선인장 식별 경진대회\n데이터문제해결및실습1\n\n- 난이도: ★☆☆\n- 경진대회명: 항공사진내선인장식별경진대회\n- 미션: 항공사진내선인장이있을확률예측\n- 문제유형: 이진분류\n- 평가지표: ROC AUC\n- 데이터크기: 24.2MB\n- 참가팀수: 1,221팀\n- 제출시사용한모델: 기본CNN",
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      "name": "Evaluation",
      "content": "# Scoring Metric\nSubmissions are evaluated on **area under the ROC curve** between the predicted probability and the observed target.\n\n# Submission File\nFor each ID in the test set, you must predict a probability for the **has_cactus** variable. The file should contain a header and have the following format:\n```\nid,has_cactus\n000940378805c44108d287872b2f04ce.jpg,0.5\n0017242f54ececa4512b4d7937d1e21e.jpg,0.5\n001ee6d8564003107853118ab87df407.jpg,0.5\netc.\n```",
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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!\n - Yes!",
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    {
      "name": "abstract",
      "content": "## Chapter 11 - [경진대회] 항공 사진 내 선인장 식별 경진대회\n데이터문제해결및실습1",
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