{
  "id": 379831,
  "title": "Similar Kaggle competition",
  "url": "/competitions/icecube-neutrinos-in-deep-ice/discussion/379831",
  "author_name": "",
  "post_date": "2023-01-21T07:56:54.257991500Z",
  "votes": 8,
  "comment_count": 6,
  "views": 0,
  "content": "<p>TrackML Particle Tracking Challenge has some similarities with IceCube competition :</p>\n<p><a href=\"https://www.kaggle.com/competitions/trackml-particle-identification\" target=\"_blank\">https://www.kaggle.com/competitions/trackml-particle-identification</a> </p>",
  "messages": [
    {
      "id": "2109198",
      "postDate": "01/21/2023 07:56:54",
      "content": "<p>TrackML Particle Tracking Challenge has some similarities with IceCube competition :</p>\n<p><a href=\"https://www.kaggle.com/competitions/trackml-particle-identification\" target=\"_blank\">https://www.kaggle.com/competitions/trackml-particle-identification</a> </p>",
      "rawMarkdown": "TrackML Particle Tracking Challenge has some similarities with IceCube competition :\n\nhttps://www.kaggle.com/competitions/trackml-particle-identification",
      "votes": null
    },
    {
      "id": "2111375",
      "postDate": "01/22/2023 20:56:00",
      "content": "<p>Wow, that's interesting for us. These two competitions are doing the future research based on the particles around us.</p>",
      "rawMarkdown": "Wow, that's interesting for us. These two competitions are doing the future research based on the particles around us.",
      "votes": null
    },
    {
      "id": "2111388",
      "postDate": "01/22/2023 21:11:25",
      "content": "<p>From the top solution is this competition:</p>\n<p>'I'm sorry, but I did not use much machine learning (only some logistic regression for candidate pruning), but rather classical mathematical modeling with statistics and 3d geometry. This, combined with the fact that I wrote everything in C++ with no dependencies, made the final code quite fast: about 8 minutes per event per cpu core for my final submission. So I believe my code could be a good starting point for the throughput phase.'</p>\n<p>I wonder if we will see something similar here. Well, since it is a code competition I guess it would not be so easy to use C++.</p>\n<p>From the comments:<br>\n'@icecuber, I'm in awe and speechless at the same time after having read your approach and thinking \"what have we been doing in the past 3 months\"? You made us feel really stupid. :p It proved machine learning can't outperform laws of physics. (Science is the king!!) I don't know what people can do in the throughput competition, probably just optimizing your code. :) Your solution is absolutely extraordinary and I wonder if CERN will still bother to explore any DL approaches after having read this post. May I ask if you're a physicist or a mathematician?'</p>\n<p>Lol</p>",
      "rawMarkdown": "From the top solution is this competition:\n\n'I'm sorry, but I did not use much machine learning (only some logistic regression for candidate pruning), but rather classical mathematical modeling with statistics and 3d geometry. This, combined with the fact that I wrote everything in C++ with no dependencies, made the final code quite fast: about 8 minutes per event per cpu core for my final submission. So I believe my code could be a good starting point for the throughput phase.'\n\nI wonder if we will see something similar here. Well, since it is a code competition I guess it would not be so easy to use C++.\n\nFrom the comments:\n'@icecuber, I'm in awe and speechless at the same time after having read your approach and thinking \"what have we been doing in the past 3 months\"? You made us feel really stupid. :p It proved machine learning can't outperform laws of physics. (Science is the king!!) I don't know what people can do in the throughput competition, probably just optimizing your code. :) Your solution is absolutely extraordinary and I wonder if CERN will still bother to explore any DL approaches after having read this post. May I ask if you're a physicist or a mathematician?'\n\nLol",
      "votes": null
    },
    {
      "id": "2111435",
      "postDate": "01/22/2023 22:24:50",
      "content": "<p>Shouldn't be any reason you can't use c++.  Just upload the binaries to a dataset, or heck you can even just do this:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9052057%2F10b9128208f4b0e3176af507e20c83ec%2FScreenshot%202023-01-22%202.23.45%20PM.png?generation=1674426259914761&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Shouldn't be any reason you can't use c++.  Just upload the binaries to a dataset, or heck you can even just do this:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9052057%2F10b9128208f4b0e3176af507e20c83ec%2FScreenshot%202023-01-22%202.23.45%20PM.png?generation=1674426259914761&alt=media)",
      "votes": null
    },
    {
      "id": "2111464",
      "postDate": "01/22/2023 22:50:39",
      "content": "<p>Good to know…let's hope we won't need to go to such lengths</p>",
      "rawMarkdown": "Good to know...let's hope we won't need to go to such lengths",
      "votes": null
    },
    {
      "id": "2112215",
      "postDate": "01/23/2023 13:27:23",
      "content": "<p>I wonder if the winner (@icecuber) has any relation to IceCube….</p>\n<p>🤔🤔🤔</p>",
      "rawMarkdown": "I wonder if the winner (@icecuber) has any relation to IceCube….\n\n🤔🤔🤔",
      "votes": null
    },
    {
      "id": "2112477",
      "postDate": "01/23/2023 16:45:31",
      "content": "<p>Off topic, but this comment in the 1st place write-up got me laughing out loud… :D</p>\n<p>\"It's fun to submit to the leaderboard, even when it isn't strictly strategical considering winning chances.\"</p>",
      "rawMarkdown": "Off topic, but this comment in the 1st place write-up got me laughing out loud... :D\n\n\"It's fun to submit to the leaderboard, even when it isn't strictly strategical considering winning chances.\"",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2111375,
      "author_name": "dinowun",
      "author_url": "",
      "post_date": "01/22/2023 20:56:00",
      "content": "<p>Wow, that's interesting for us. These two competitions are doing the future research based on the particles around us.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2111388,
      "author_name": "shlomoron",
      "author_url": "",
      "post_date": "01/22/2023 21:11:25",
      "content": "<p>From the top solution is this competition:</p>\n<p>'I'm sorry, but I did not use much machine learning (only some logistic regression for candidate pruning), but rather classical mathematical modeling with statistics and 3d geometry. This, combined with the fact that I wrote everything in C++ with no dependencies, made the final code quite fast: about 8 minutes per event per cpu core for my final submission. So I believe my code could be a good starting point for the throughput phase.'</p>\n<p>I wonder if we will see something similar here. Well, since it is a code competition I guess it would not be so easy to use C++.</p>\n<p>From the comments:<br>\n'@icecuber, I'm in awe and speechless at the same time after having read your approach and thinking \"what have we been doing in the past 3 months\"? You made us feel really stupid. :p It proved machine learning can't outperform laws of physics. (Science is the king!!) I don't know what people can do in the throughput competition, probably just optimizing your code. :) Your solution is absolutely extraordinary and I wonder if CERN will still bother to explore any DL approaches after having read this post. May I ask if you're a physicist or a mathematician?'</p>\n<p>Lol</p>",
      "votes": null,
      "replies": [
        {
          "id": 2111435,
          "author_name": "kaggleqrdl",
          "author_url": "",
          "post_date": "01/22/2023 22:24:50",
          "content": "<p>Shouldn't be any reason you can't use c++.  Just upload the binaries to a dataset, or heck you can even just do this:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9052057%2F10b9128208f4b0e3176af507e20c83ec%2FScreenshot%202023-01-22%202.23.45%20PM.png?generation=1674426259914761&amp;alt=media\" alt=\"\"></p>",
          "votes": null,
          "replies": [
            {
              "id": 2111464,
              "author_name": "shlomoron",
              "author_url": "",
              "post_date": "01/22/2023 22:50:39",
              "content": "<p>Good to know…let's hope we won't need to go to such lengths</p>",
              "votes": null,
              "replies": []
            }
          ]
        },
        {
          "id": 2112215,
          "author_name": "dschettler8845",
          "author_url": "",
          "post_date": "01/23/2023 13:27:23",
          "content": "<p>I wonder if the winner (@icecuber) has any relation to IceCube….</p>\n<p>🤔🤔🤔</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 2112477,
          "author_name": "roberthatch",
          "author_url": "",
          "post_date": "01/23/2023 16:45:31",
          "content": "<p>Off topic, but this comment in the 1st place write-up got me laughing out loud… :D</p>\n<p>\"It's fun to submit to the leaderboard, even when it isn't strictly strategical considering winning chances.\"</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2109198": "TrackML Particle Tracking Challenge has some similarities with IceCube competition :\n\nhttps://www.kaggle.com/competitions/trackml-particle-identification",
    "2111375": "Wow, that's interesting for us. These two competitions are doing the future research based on the particles around us.",
    "2111388": "From the top solution is this competition:\n\n'I'm sorry, but I did not use much machine learning (only some logistic regression for candidate pruning), but rather classical mathematical modeling with statistics and 3d geometry. This, combined with the fact that I wrote everything in C++ with no dependencies, made the final code quite fast: about 8 minutes per event per cpu core for my final submission. So I believe my code could be a good starting point for the throughput phase.'\n\nI wonder if we will see something similar here. Well, since it is a code competition I guess it would not be so easy to use C++.\n\nFrom the comments:\n'@icecuber, I'm in awe and speechless at the same time after having read your approach and thinking \"what have we been doing in the past 3 months\"? You made us feel really stupid. :p It proved machine learning can't outperform laws of physics. (Science is the king!!) I don't know what people can do in the throughput competition, probably just optimizing your code. :) Your solution is absolutely extraordinary and I wonder if CERN will still bother to explore any DL approaches after having read this post. May I ask if you're a physicist or a mathematician?'\n\nLol",
    "2111435": "Shouldn't be any reason you can't use c++.  Just upload the binaries to a dataset, or heck you can even just do this:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9052057%2F10b9128208f4b0e3176af507e20c83ec%2FScreenshot%202023-01-22%202.23.45%20PM.png?generation=1674426259914761&alt=media)",
    "2111464": "Good to know...let's hope we won't need to go to such lengths",
    "2112215": "I wonder if the winner (@icecuber) has any relation to IceCube….\n\n🤔🤔🤔",
    "2112477": "Off topic, but this comment in the 1st place write-up got me laughing out loud... :D\n\n\"It's fun to submit to the leaderboard, even when it isn't strictly strategical considering winning chances.\""
  },
  "source": "meta"
}