{
  "id": 420076,
  "title": "Experimentation at the core of Competition Success",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/420076",
  "author_name": "C R Suthikshn Kumar",
  "post_date": "2023-06-29T04:54:52.645000",
  "votes": -3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Congratulations to winners of this competition. </p>\n<p>It is very interesting to note that the top ten teams in this competition are <br>\nusing 100s of experiments to improve their score. On an average the top ten <br>\nteams submitted 225 times. I think multiple experiments  with various features and<br>\nlearning parameters need to be done to fine tune the notebook. <br>\nToppers to share their valuable experience, suggestions and best practices for serious participants. </p>",
  "messages": [
    {
      "id": 2322120,
      "postDate": "2023-06-29T04:54:52.647Z",
      "content": "<p>Congratulations to winners of this competition. </p>\n<p>It is very interesting to note that the top ten teams in this competition are <br>\nusing 100s of experiments to improve their score. On an average the top ten <br>\nteams submitted 225 times. I think multiple experiments  with various features and<br>\nlearning parameters need to be done to fine tune the notebook. <br>\nToppers to share their valuable experience, suggestions and best practices for serious participants. </p>",
      "rawMarkdown": "Congratulations to winners of this competition. \n\nIt is very interesting to note that the top ten teams in this competition are \nusing 100s of experiments to improve their score. On an average the top ten \nteams submitted 225 times. I think multiple experiments  with various features and\nlearning parameters need to be done to fine tune the notebook. \nToppers to share their valuable experience, suggestions and best practices for serious participants. ",
      "votes": -3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2322120": "Congratulations to winners of this competition. \n\nIt is very interesting to note that the top ten teams in this competition are \nusing 100s of experiments to improve their score. On an average the top ten \nteams submitted 225 times. I think multiple experiments  with various features and\nlearning parameters need to be done to fine tune the notebook. \nToppers to share their valuable experience, suggestions and best practices for serious participants. "
  }
}