{
  "id": 509430,
  "title": "Where is 'test_label_coordinates.csv'?",
  "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/509430",
  "author_name": "",
  "post_date": "2024-06-02T11:17:26.689644500Z",
  "votes": 3,
  "comment_count": 4,
  "views": 0,
  "content": "<p>In the presented data, there is train_label_coordinates.csv, but test_label_coordinates.csv is not visible.<br>\nI would like to know if I should consider and code it as something that can be used as hidden data when submitting.</p>",
  "messages": [
    {
      "id": "2850817",
      "postDate": "06/02/2024 11:17:26",
      "content": "<p>In the presented data, there is train_label_coordinates.csv, but test_label_coordinates.csv is not visible.<br>\nI would like to know if I should consider and code it as something that can be used as hidden data when submitting.</p>",
      "rawMarkdown": "In the presented data, there is train_label_coordinates.csv, but test_label_coordinates.csv is not visible.\nI would like to know if I should consider and code it as something that can be used as hidden data when submitting.",
      "votes": null
    },
    {
      "id": "2854601",
      "postDate": "06/04/2024 11:18:27",
      "content": "<p>After thinking about it more, I think we need to do two major stages of modeling. Step 1 is to predict something like the x,y values ​​of train_label_coordinates.csv. Step 2 is to predict the severity of each disease by referring to this.</p>",
      "rawMarkdown": "After thinking about it more, I think we need to do two major stages of modeling. Step 1 is to predict something like the x,y values ​​of train_label_coordinates.csv. Step 2 is to predict the severity of each disease by referring to this.",
      "votes": null
    },
    {
      "id": "2854953",
      "postDate": "06/04/2024 14:31:47",
      "content": "<p>I think you can do it without the x, y values, but I'm confused on if you should predict the condition also. There are some notebooks that map the condition based on the train conditions, but I'm not sure if that's correct or not. </p>",
      "rawMarkdown": "I think you can do it without the x, y values, but I'm confused on if you should predict the condition also. There are some notebooks that map the condition based on the train conditions, but I'm not sure if that's correct or not.",
      "votes": null
    },
    {
      "id": "2858879",
      "postDate": "06/06/2024 17:35:46",
      "content": "<p>No, test_label_coordinates.csv are not provided. Try without using coordinates</p>",
      "rawMarkdown": "No, test_label_coordinates.csv are not provided. Try without using coordinates",
      "votes": null
    },
    {
      "id": "2969878",
      "postDate": "08/25/2024 13:41:45",
      "content": "<p>hi! can you please give some links?</p>",
      "rawMarkdown": "hi! can you please give some links?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2854601,
      "author_name": "jinstat",
      "author_url": "",
      "post_date": "06/04/2024 11:18:27",
      "content": "<p>After thinking about it more, I think we need to do two major stages of modeling. Step 1 is to predict something like the x,y values ​​of train_label_coordinates.csv. Step 2 is to predict the severity of each disease by referring to this.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2854953,
          "author_name": "willrice",
          "author_url": "",
          "post_date": "06/04/2024 14:31:47",
          "content": "<p>I think you can do it without the x, y values, but I'm confused on if you should predict the condition also. There are some notebooks that map the condition based on the train conditions, but I'm not sure if that's correct or not. </p>",
          "votes": null,
          "replies": [
            {
              "id": 2969878,
              "author_name": "deepakat002",
              "author_url": "",
              "post_date": "08/25/2024 13:41:45",
              "content": "<p>hi! can you please give some links?</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 2858879,
      "author_name": "manaidu",
      "author_url": "",
      "post_date": "06/06/2024 17:35:46",
      "content": "<p>No, test_label_coordinates.csv are not provided. Try without using coordinates</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2850817": "In the presented data, there is train_label_coordinates.csv, but test_label_coordinates.csv is not visible.\nI would like to know if I should consider and code it as something that can be used as hidden data when submitting.",
    "2854601": "After thinking about it more, I think we need to do two major stages of modeling. Step 1 is to predict something like the x,y values ​​of train_label_coordinates.csv. Step 2 is to predict the severity of each disease by referring to this.",
    "2854953": "I think you can do it without the x, y values, but I'm confused on if you should predict the condition also. There are some notebooks that map the condition based on the train conditions, but I'm not sure if that's correct or not.",
    "2858879": "No, test_label_coordinates.csv are not provided. Try without using coordinates",
    "2969878": "hi! can you please give some links?"
  },
  "source": "meta"
}