{
  "id": 627574,
  "title": "What does \"Submission scoring error\" mean?",
  "url": "/competitions/vesuvius-challenge-surface-detection/discussion/627574",
  "author_name": "",
  "post_date": "2025-11-16T22:52:16.753918500Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F30613376%2Fbe81d16f7479b0a3ca549c7c1bd07029%2FScreenshot%202025-11-16%20144310.png?generation=1763333167688658&amp;alt=media\" alt=\"screenshot image\">\nI'm new to Kaggle and trying to sort out that I am submitting things correctly.  My first submission got scored, but the second didn't.  The first one was just thresholding a slightly smoothed version of each image.  To make sure that the content of what I was submitting made a difference, my second submission was just the logical inversion of the first one for each image.  I figured that if the content was getting through, the second score should be dramatically worse than the original score (since I was basically trying to submit an approximate background mask instead of an approximate sheet mask).  But intstead of getting a worse score, I got an error.  Does that just mean that my guesses were so bad that the scoring code broke?  That's my guess, but I would appreciate it if someone with more experience could confirm that. Thanks!</p>",
  "messages": [
    {
      "id": "3332772",
      "postDate": "11/16/2025 22:52:16",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F30613376%2Fbe81d16f7479b0a3ca549c7c1bd07029%2FScreenshot%202025-11-16%20144310.png?generation=1763333167688658&amp;alt=media\" alt=\"screenshot image\">\nI'm new to Kaggle and trying to sort out that I am submitting things correctly.  My first submission got scored, but the second didn't.  The first one was just thresholding a slightly smoothed version of each image.  To make sure that the content of what I was submitting made a difference, my second submission was just the logical inversion of the first one for each image.  I figured that if the content was getting through, the second score should be dramatically worse than the original score (since I was basically trying to submit an approximate background mask instead of an approximate sheet mask).  But intstead of getting a worse score, I got an error.  Does that just mean that my guesses were so bad that the scoring code broke?  That's my guess, but I would appreciate it if someone with more experience could confirm that. Thanks!</p>",
      "rawMarkdown": "![screenshot image](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F30613376%2Fbe81d16f7479b0a3ca549c7c1bd07029%2FScreenshot%202025-11-16%20144310.png?generation=1763333167688658&alt=media)\nI'm new to Kaggle and trying to sort out that I am submitting things correctly.  My first submission got scored, but the second didn't.  The first one was just thresholding a slightly smoothed version of each image.  To make sure that the content of what I was submitting made a difference, my second submission was just the logical inversion of the first one for each image.  I figured that if the content was getting through, the second score should be dramatically worse than the original score (since I was basically trying to submit an approximate background mask instead of an approximate sheet mask).  But intstead of getting a worse score, I got an error.  Does that just mean that my guesses were so bad that the scoring code broke?  That's my guess, but I would appreciate it if someone with more experience could confirm that. Thanks!",
      "votes": null
    },
    {
      "id": "3337107",
      "postDate": "11/18/2025 20:19:45",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/mikebindschadler\" target=\"_blank\">@mikebindschadler</a> -- welcome to Kaggle! Here is a bit of <a href=\"https://www.kaggle.com/code-competition-debugging\" target=\"_blank\">documentation</a> that we published with some common errors and how to troubleshoot them. Good luck!</p>",
      "rawMarkdown": "Hi @mikebindschadler -- welcome to Kaggle! Here is a bit of [documentation](https://www.kaggle.com/code-competition-debugging) that we published with some common errors and how to troubleshoot them. Good luck!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3337107,
      "author_name": "macruzbar",
      "author_url": "",
      "post_date": "11/18/2025 20:19:45",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/mikebindschadler\" target=\"_blank\">@mikebindschadler</a> -- welcome to Kaggle! Here is a bit of <a href=\"https://www.kaggle.com/code-competition-debugging\" target=\"_blank\">documentation</a> that we published with some common errors and how to troubleshoot them. Good luck!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3332772": "![screenshot image](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F30613376%2Fbe81d16f7479b0a3ca549c7c1bd07029%2FScreenshot%202025-11-16%20144310.png?generation=1763333167688658&alt=media)\nI'm new to Kaggle and trying to sort out that I am submitting things correctly.  My first submission got scored, but the second didn't.  The first one was just thresholding a slightly smoothed version of each image.  To make sure that the content of what I was submitting made a difference, my second submission was just the logical inversion of the first one for each image.  I figured that if the content was getting through, the second score should be dramatically worse than the original score (since I was basically trying to submit an approximate background mask instead of an approximate sheet mask).  But intstead of getting a worse score, I got an error.  Does that just mean that my guesses were so bad that the scoring code broke?  That's my guess, but I would appreciate it if someone with more experience could confirm that. Thanks!",
    "3337107": "Hi @mikebindschadler -- welcome to Kaggle! Here is a bit of [documentation](https://www.kaggle.com/code-competition-debugging) that we published with some common errors and how to troubleshoot them. Good luck!"
  },
  "source": "meta"
}