{
  "id": 203372,
  "title": "Some wrong examples (according to me)",
  "url": "/competitions/ranzcr-clip-catheter-line-classification/discussion/203372",
  "author_name": "",
  "post_date": "2020-12-15T00:49:30.649111100Z",
  "votes": 9,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I think there are some noisy examples in the dataset which have both abnormal and normal True for a given sample. I would like to know more about this thing.<br>\nAm I interpreting something wrong? Is it a domain-specific thing that I have no idea about? </p>\n<p>Check this notebook to know more about what I am talking about<br>\n<a href=\"https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109\" target=\"_blank\">https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109</a></p>",
  "messages": [
    {
      "id": "1112874",
      "postDate": "12/15/2020 00:49:30",
      "content": "<p>I think there are some noisy examples in the dataset which have both abnormal and normal True for a given sample. I would like to know more about this thing.<br>\nAm I interpreting something wrong? Is it a domain-specific thing that I have no idea about? </p>\n<p>Check this notebook to know more about what I am talking about<br>\n<a href=\"https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109\" target=\"_blank\">https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109</a></p>",
      "rawMarkdown": "I think there are some noisy examples in the dataset which have both abnormal and normal True for a given sample. I would like to know more about this thing.\nAm I interpreting something wrong? Is it a domain-specific thing that I have no idea about? \n\nCheck this notebook to know more about what I am talking about\n[https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109](https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109)",
      "votes": null
    },
    {
      "id": "1112895",
      "postDate": "12/15/2020 01:44:26",
      "content": "<p>Hi Debarshi! </p>\n<p>Thanks for participating in the competition! The labels reflect whether or not a particular finding is present or absent in the image, and are not mutually exclusive as there may be more than one line or tube of that type in the patient. For instance, it is not uncommon to have 2 or more CVCs in the same patient, where one could be in a Normal position but another could be in a Borderline or Abnormal position. This will explain the majority of the cases you see where there are more than one label for NGT or CVC. There may be a small minority of incorrectly labelled cases due to human error but this should be a small percentage.</p>\n<p>Regards,<br>\nJarrel </p>",
      "rawMarkdown": "Hi Debarshi! \n\nThanks for participating in the competition! The labels reflect whether or not a particular finding is present or absent in the image, and are not mutually exclusive as there may be more than one line or tube of that type in the patient. For instance, it is not uncommon to have 2 or more CVCs in the same patient, where one could be in a Normal position but another could be in a Borderline or Abnormal position. This will explain the majority of the cases you see where there are more than one label for NGT or CVC. There may be a small minority of incorrectly labelled cases due to human error but this should be a small percentage.\n\nRegards,\nJarrel",
      "votes": null
    },
    {
      "id": "1113344",
      "postDate": "12/15/2020 11:35:37",
      "content": "<p>Thank you sir for clarifying! I really didn't think about that<br>\nI will also update this in the notebook!</p>",
      "rawMarkdown": "Thank you sir for clarifying! I really didn't think about that\nI will also update this in the notebook!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1112895,
      "author_name": "jarrelscy",
      "author_url": "",
      "post_date": "12/15/2020 01:44:26",
      "content": "<p>Hi Debarshi! </p>\n<p>Thanks for participating in the competition! The labels reflect whether or not a particular finding is present or absent in the image, and are not mutually exclusive as there may be more than one line or tube of that type in the patient. For instance, it is not uncommon to have 2 or more CVCs in the same patient, where one could be in a Normal position but another could be in a Borderline or Abnormal position. This will explain the majority of the cases you see where there are more than one label for NGT or CVC. There may be a small minority of incorrectly labelled cases due to human error but this should be a small percentage.</p>\n<p>Regards,<br>\nJarrel </p>",
      "votes": null,
      "replies": [
        {
          "id": 1113344,
          "author_name": "debarshichanda",
          "author_url": "",
          "post_date": "12/15/2020 11:35:37",
          "content": "<p>Thank you sir for clarifying! I really didn't think about that<br>\nI will also update this in the notebook!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1112874": "I think there are some noisy examples in the dataset which have both abnormal and normal True for a given sample. I would like to know more about this thing.\nAm I interpreting something wrong? Is it a domain-specific thing that I have no idea about? \n\nCheck this notebook to know more about what I am talking about\n[https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109](https://www.kaggle.com/debarshichanda/some-interesting-discoveries?scriptVersionId=49422109)",
    "1112895": "Hi Debarshi! \n\nThanks for participating in the competition! The labels reflect whether or not a particular finding is present or absent in the image, and are not mutually exclusive as there may be more than one line or tube of that type in the patient. For instance, it is not uncommon to have 2 or more CVCs in the same patient, where one could be in a Normal position but another could be in a Borderline or Abnormal position. This will explain the majority of the cases you see where there are more than one label for NGT or CVC. There may be a small minority of incorrectly labelled cases due to human error but this should be a small percentage.\n\nRegards,\nJarrel",
    "1113344": "Thank you sir for clarifying! I really didn't think about that\nI will also update this in the notebook!"
  },
  "source": "meta"
}