{
  "id": 131184,
  "title": "Any idea on disclosing of final evaluation scores of all the submissions",
  "url": "/competitions/march-madness-analytics-2020/discussion/131184",
  "author_name": "",
  "post_date": "2020-02-18T18:08:38.956833900Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "",
  "messages": [
    {
      "id": "749463",
      "postDate": "02/18/2020 18:08:38",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "762689",
      "postDate": "03/03/2020 18:12:00",
      "content": "<p>More transparency is almost always good, right? Several people asked for public scores after the two NFL analytics challenges. That makes sense to me because we can then learn by getting feedback on our work and comparing it to others. It's a major reason why machine learning competitions are so popular. </p>\n\n<p>It might also be a good idea to make slide submissions public right after the deadline. There's really nothing to be kept secret because (1) slides should not have anything that's not in the notebook, and (2) slides for finalists will change before any additional rounds.</p>",
      "rawMarkdown": "More transparency is almost always good, right? Several people asked for public scores after the two NFL analytics challenges. That makes sense to me because we can then learn by getting feedback on our work and comparing it to others. It's a major reason why machine learning competitions are so popular. \n\nIt might also be a good idea to make slide submissions public right after the deadline. There's really nothing to be kept secret because (1) slides should not have anything that's not in the notebook, and (2) slides for finalists will change before any additional rounds.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 762689,
      "author_name": "jpmiller",
      "author_url": "",
      "post_date": "03/03/2020 18:12:00",
      "content": "<p>More transparency is almost always good, right? Several people asked for public scores after the two NFL analytics challenges. That makes sense to me because we can then learn by getting feedback on our work and comparing it to others. It's a major reason why machine learning competitions are so popular. </p>\n\n<p>It might also be a good idea to make slide submissions public right after the deadline. There's really nothing to be kept secret because (1) slides should not have anything that's not in the notebook, and (2) slides for finalists will change before any additional rounds.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "749463": "",
    "762689": "More transparency is almost always good, right? Several people asked for public scores after the two NFL analytics challenges. That makes sense to me because we can then learn by getting feedback on our work and comparing it to others. It's a major reason why machine learning competitions are so popular. \n\nIt might also be a good idea to make slide submissions public right after the deadline. There's really nothing to be kept secret because (1) slides should not have anything that's not in the notebook, and (2) slides for finalists will change before any additional rounds."
  },
  "source": "meta"
}