{
  "id": 543724,
  "title": "NeurIPS - Ariel Data Challenge 2024: Uncertainty Principle at play",
  "url": "/competitions/ariel-data-challenge-2024/discussion/543724",
  "author_name": "C R Suthikshn Kumar",
  "post_date": "2024-11-01T05:11:02.893000",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>WIth respect to  \"NeurIPS - Ariel Data Challenge 2024</p>\n<ul>\n<li>Dervice exoplanet signals from Ariel's Optical Instruments\", competition.<br>\n<a href=\"https://www.kaggle.com/competitions/ariel-data-challenge-2024/\" target=\"_blank\">https://www.kaggle.com/competitions/ariel-data-challenge-2024/</a></li>\n</ul>\n<p>Congratulations to all the winners and participants in this competition. This was a very interesting competition<br>\nwith many of the participants sharing their ideas and code. Also, acknowledge the competition organizers for their<br>\neffort in successfully organizing a flawless  and fair competition. </p>\n<p>I observe that high accuracy predictions are limited by Heisenberg's Uncertainty Principle:<br>\n\"the more accurately one property is measured, the less accurately the other property can be known\".<br>\nReference: <a href=\"https://en.wikipedia.org/wiki/Uncertainty_principle\" target=\"_blank\">https://en.wikipedia.org/wiki/Uncertainty_principle</a></p>\n<p>This may be the reason for final outcome with top ranker in the competition achieving score of 0.742.<br>\nSuch feeble signals when discerned with powerful ML algorithms can reach a certain threshold level in prediction accuracy.</p>\n<p>Welcome participants to share their thoughts on this topic. </p>",
  "messages": [
    {
      "id": 3033424,
      "postDate": "2024-11-01T05:11:02.893Z",
      "content": "<p>WIth respect to  \"NeurIPS - Ariel Data Challenge 2024</p>\n<ul>\n<li>Dervice exoplanet signals from Ariel's Optical Instruments\", competition.<br>\n<a href=\"https://www.kaggle.com/competitions/ariel-data-challenge-2024/\" target=\"_blank\">https://www.kaggle.com/competitions/ariel-data-challenge-2024/</a></li>\n</ul>\n<p>Congratulations to all the winners and participants in this competition. This was a very interesting competition<br>\nwith many of the participants sharing their ideas and code. Also, acknowledge the competition organizers for their<br>\neffort in successfully organizing a flawless  and fair competition. </p>\n<p>I observe that high accuracy predictions are limited by Heisenberg's Uncertainty Principle:<br>\n\"the more accurately one property is measured, the less accurately the other property can be known\".<br>\nReference: <a href=\"https://en.wikipedia.org/wiki/Uncertainty_principle\" target=\"_blank\">https://en.wikipedia.org/wiki/Uncertainty_principle</a></p>\n<p>This may be the reason for final outcome with top ranker in the competition achieving score of 0.742.<br>\nSuch feeble signals when discerned with powerful ML algorithms can reach a certain threshold level in prediction accuracy.</p>\n<p>Welcome participants to share their thoughts on this topic. </p>",
      "rawMarkdown": "WIth respect to  \"NeurIPS - Ariel Data Challenge 2024\n- Dervice exoplanet signals from Ariel's Optical Instruments\", competition.\nhttps://www.kaggle.com/competitions/ariel-data-challenge-2024/\n\nCongratulations to all the winners and participants in this competition. This was a very interesting competition\nwith many of the participants sharing their ideas and code. Also, acknowledge the competition organizers for their\neffort in successfully organizing a flawless  and fair competition. \n\nI observe that high accuracy predictions are limited by Heisenberg's Uncertainty Principle:\n\"the more accurately one property is measured, the less accurately the other property can be known\".\nReference: https://en.wikipedia.org/wiki/Uncertainty_principle\n\nThis may be the reason for final outcome with top ranker in the competition achieving score of 0.742.\nSuch feeble signals when discerned with powerful ML algorithms can reach a certain threshold level in prediction accuracy.\n\nWelcome participants to share their thoughts on this topic. ",
      "votes": 1
    },
    {
      "id": 3033485,
      "postDate": "2024-11-01T07:49:35.093Z",
      "content": "<p>Hi, I'm one ahead of you, I was quite dramatic when I saw the results today, the feeling was like I had bought a lottery ticket with all the number + 1.<br>\n😅<br>\nOf course congratulations to all the winners and thank you to all the participants and race organizers!</p>",
      "rawMarkdown": "Hi, I'm one ahead of you, I was quite dramatic when I saw the results today, the feeling was like I had bought a lottery ticket with all the number + 1.\n😅\nOf course congratulations to all the winners and thank you to all the participants and race organizers!"
    }
  ],
  "comments": [
    {
      "id": 3033485,
      "author_name": "Aristotle.Chen",
      "author_url": "",
      "post_date": "2024-11-01T07:49:35.093000",
      "content": "<p>Hi, I'm one ahead of you, I was quite dramatic when I saw the results today, the feeling was like I had bought a lottery ticket with all the number + 1.<br>\n😅<br>\nOf course congratulations to all the winners and thank you to all the participants and race organizers!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3033424": "WIth respect to  \"NeurIPS - Ariel Data Challenge 2024\n- Dervice exoplanet signals from Ariel's Optical Instruments\", competition.\nhttps://www.kaggle.com/competitions/ariel-data-challenge-2024/\n\nCongratulations to all the winners and participants in this competition. This was a very interesting competition\nwith many of the participants sharing their ideas and code. Also, acknowledge the competition organizers for their\neffort in successfully organizing a flawless  and fair competition. \n\nI observe that high accuracy predictions are limited by Heisenberg's Uncertainty Principle:\n\"the more accurately one property is measured, the less accurately the other property can be known\".\nReference: https://en.wikipedia.org/wiki/Uncertainty_principle\n\nThis may be the reason for final outcome with top ranker in the competition achieving score of 0.742.\nSuch feeble signals when discerned with powerful ML algorithms can reach a certain threshold level in prediction accuracy.\n\nWelcome participants to share their thoughts on this topic. ",
    "3033485": "Hi, I'm one ahead of you, I was quite dramatic when I saw the results today, the feeling was like I had bought a lottery ticket with all the number + 1.\n😅\nOf course congratulations to all the winners and thank you to all the participants and race organizers!"
  }
}