{
  "id": 86468,
  "title": "How to leave this competition? ",
  "url": "/competitions/histopathologic-cancer-detection/discussion/86468",
  "author_name": "",
  "post_date": "2019-03-24T10:31:36.034028100Z",
  "votes": 2,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hello everyone, \nI don't understand, what's the point of participating in the contest, where 1.0 gets not a  machine learning model, but known answers in advance?  Is there an opportunity to leave this competition?\nThank you</p>",
  "messages": [
    {
      "id": "499102",
      "postDate": "03/24/2019 10:31:36",
      "content": "<p>Hello everyone, \nI don't understand, what's the point of participating in the contest, where 1.0 gets not a  machine learning model, but known answers in advance?  Is there an opportunity to leave this competition?\nThank you</p>",
      "rawMarkdown": "Hello everyone, \nI don't understand, what's the point of participating in the contest, where 1.0 gets not a  machine learning model, but known answers in advance?  Is there an opportunity to leave this competition?\nThank you",
      "votes": null
    },
    {
      "id": "499174",
      "postDate": "03/24/2019 12:41:28",
      "content": "<p>In case you are leaving but still interested in medical research in DL, do give this a read 💯 \n<a href=\"https://medium.com/2-minute-papers/paper-review-laddernet-multi-path-networks-based-on-u-net-for-medical-image-segmentation-291becb8b4ab\">LadderNet</a></p>",
      "rawMarkdown": "In case you are leaving but still interested in medical research in DL, do give this a read 💯 \n[LadderNet](https://medium.com/2-minute-papers/paper-review-laddernet-multi-path-networks-based-on-u-net-for-medical-image-segmentation-291becb8b4ab)",
      "votes": null
    },
    {
      "id": "499403",
      "postDate": "03/24/2019 18:34:35",
      "content": "<p>What do you mean leave? Like have your submissions removed?</p>\n\n<p>This competition gives no rank so it really does not matter for anything, few people will be fooled by lb scores above 0.99 as real rather than submitting the test labels (cheating). Anyone with such a score is welcom to post a kernel with their model. </p>",
      "rawMarkdown": "What do you mean leave? Like have your submissions removed?\n\nThis competition gives no rank so it really does not matter for anything, few people will be fooled by lb scores above 0.99 as real rather than submitting the test labels (cheating). Anyone with such a score is welcom to post a kernel with their model.",
      "votes": null
    },
    {
      "id": "499452",
      "postDate": "03/24/2019 19:47:31",
      "content": "<p>Oh, there is no rank for this competition? Because it is playground?</p>",
      "rawMarkdown": "Oh, there is no rank for this competition? Because it is playground?",
      "votes": null
    },
    {
      "id": "499467",
      "postDate": "03/24/2019 20:22:52",
      "content": "<p>Exactly. I believe that is the case.</p>",
      "rawMarkdown": "Exactly. I believe that is the case.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 499174,
      "author_name": "sayantandas30011998",
      "author_url": "",
      "post_date": "03/24/2019 12:41:28",
      "content": "<p>In case you are leaving but still interested in medical research in DL, do give this a read 💯 \n<a href=\"https://medium.com/2-minute-papers/paper-review-laddernet-multi-path-networks-based-on-u-net-for-medical-image-segmentation-291becb8b4ab\">LadderNet</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 499403,
      "author_name": "interneuron",
      "author_url": "",
      "post_date": "03/24/2019 18:34:35",
      "content": "<p>What do you mean leave? Like have your submissions removed?</p>\n\n<p>This competition gives no rank so it really does not matter for anything, few people will be fooled by lb scores above 0.99 as real rather than submitting the test labels (cheating). Anyone with such a score is welcom to post a kernel with their model. </p>",
      "votes": null,
      "replies": [
        {
          "id": 499452,
          "author_name": "neuralart",
          "author_url": "",
          "post_date": "03/24/2019 19:47:31",
          "content": "<p>Oh, there is no rank for this competition? Because it is playground?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 499467,
          "author_name": "interneuron",
          "author_url": "",
          "post_date": "03/24/2019 20:22:52",
          "content": "<p>Exactly. I believe that is the case.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "499102": "Hello everyone, \nI don't understand, what's the point of participating in the contest, where 1.0 gets not a  machine learning model, but known answers in advance?  Is there an opportunity to leave this competition?\nThank you",
    "499174": "In case you are leaving but still interested in medical research in DL, do give this a read 💯 \n[LadderNet](https://medium.com/2-minute-papers/paper-review-laddernet-multi-path-networks-based-on-u-net-for-medical-image-segmentation-291becb8b4ab)",
    "499403": "What do you mean leave? Like have your submissions removed?\n\nThis competition gives no rank so it really does not matter for anything, few people will be fooled by lb scores above 0.99 as real rather than submitting the test labels (cheating). Anyone with such a score is welcom to post a kernel with their model.",
    "499452": "Oh, there is no rank for this competition? Because it is playground?",
    "499467": "Exactly. I believe that is the case."
  },
  "source": "meta"
}