{
  "fetched_at": "2026-10-24T17:26:13Z",
  "source_url": "https://www.kaggle.com/competitions/2022-fall-micro-course2-svm/data",
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      "name": "Description",
      "content": "This is the Kaggle task for Micro Course-2, BBC News Classification.\n\n## Objectives\n\n1. Get familiar with scikit-learn (a useful ML toolkit)\n2. Understand the basic TF-IDF and SVM model.\n3. Try to use what you learned in real world problem.\n\n## Task Description\nPlease try to estimate the category of the given news with SVM models.\n\n## Acknowledgements\nSample Code: https://colab.research.google.com/drive/1frtXw9koQy1Br03lHGydtNw_AYEqkkwH?usp=sharing\nPlease remember not to share the codes to the public.\n\nP.S. Thanks for another competition holder for providing the dataset. (learn-ai-bbc)",
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      "name": "Evaluation",
      "content": "The evaluation metric for the competition is accuracy.\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!",
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