{
  "id": 571042,
  "title": "What is the actual true label of the test IDs?",
  "url": "/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/571042",
  "author_name": "",
  "post_date": "2025-04-01T06:16:04.361782100Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>My model predicted this, and when I checked the slices, I saw a motor. But is this the same as 167 and 168? I’m not sure what the actual true label is.</p>\n<pre><code>Submission preview:\n       tomo_id  Motor axis   Motor axis   Motor axis \n  tomo_003acc            -            -            -\n  tomo_00e047                                 \n  tomo_01a877                                 \n</code></pre>",
  "messages": [
    {
      "id": "3166904",
      "postDate": "04/01/2025 06:16:04",
      "content": "<p>My model predicted this, and when I checked the slices, I saw a motor. But is this the same as 167 and 168? I’m not sure what the actual true label is.</p>\n<pre><code>Submission preview:\n       tomo_id  Motor axis   Motor axis   Motor axis \n  tomo_003acc            -            -            -\n  tomo_00e047                                 \n  tomo_01a877                                 \n</code></pre>",
      "rawMarkdown": "My model predicted this, and when I checked the slices, I saw a motor. But is this the same as 167 and 168? I’m not sure what the actual true label is.\n\n\n```python\nSubmission preview:\n       tomo_id  Motor axis 0  Motor axis 1  Motor axis 2\n0  tomo_003acc            -1            -1            -1\n1  tomo_00e047           167           545           601\n2  tomo_01a877           138           640           287\n```",
      "votes": null
    },
    {
      "id": "3167125",
      "postDate": "04/01/2025 09:37:42",
      "content": "<p><a href=\"https://www.kaggle.com/sangrampatil5150\" target=\"_blank\">@sangrampatil5150</a>  Instead of an absolute value, if your prediction is in a certain range (1000 Angstroms) then it is counted as true positive. You can check that in the description</p>",
      "rawMarkdown": "sangrampatil5150  Instead of an absolute value, if your prediction is in a certain range (1000 Angstroms) then it is counted as true positive. You can check that in the description",
      "votes": null
    },
    {
      "id": "3167158",
      "postDate": "04/01/2025 10:10:31",
      "content": "<p><a href=\"https://www.kaggle.com/tom99763\" target=\"_blank\">@tom99763</a> Hmm, yeah, i already read the description, but like in the <code>train_labels.csv</code>, I was curious about what the actual perfect true labels would be</p>",
      "rawMarkdown": "tom99763 Hmm, yeah, i already read the description, but like in the `train_labels.csv`, I was curious about what the actual perfect true labels would be",
      "votes": null
    },
    {
      "id": "3167235",
      "postDate": "04/01/2025 11:29:02",
      "content": "<p>Well, if you look at the tomo_id column in train_labels.csv, you will find these entries!</p>",
      "rawMarkdown": "Well, if you look at the tomo_id column in train_labels.csv, you will find these entries!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3167125,
      "author_name": "tom99763",
      "author_url": "",
      "post_date": "04/01/2025 09:37:42",
      "content": "<p><a href=\"https://www.kaggle.com/sangrampatil5150\" target=\"_blank\">@sangrampatil5150</a>  Instead of an absolute value, if your prediction is in a certain range (1000 Angstroms) then it is counted as true positive. You can check that in the description</p>",
      "votes": null,
      "replies": [
        {
          "id": 3167158,
          "author_name": "sangrampatil5150",
          "author_url": "",
          "post_date": "04/01/2025 10:10:31",
          "content": "<p><a href=\"https://www.kaggle.com/tom99763\" target=\"_blank\">@tom99763</a> Hmm, yeah, i already read the description, but like in the <code>train_labels.csv</code>, I was curious about what the actual perfect true labels would be</p>",
          "votes": null,
          "replies": [
            {
              "id": 3167235,
              "author_name": "andreizamfir",
              "author_url": "",
              "post_date": "04/01/2025 11:29:02",
              "content": "<p>Well, if you look at the tomo_id column in train_labels.csv, you will find these entries!</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3166904": "My model predicted this, and when I checked the slices, I saw a motor. But is this the same as 167 and 168? I’m not sure what the actual true label is.\n\n\n```python\nSubmission preview:\n       tomo_id  Motor axis 0  Motor axis 1  Motor axis 2\n0  tomo_003acc            -1            -1            -1\n1  tomo_00e047           167           545           601\n2  tomo_01a877           138           640           287\n```",
    "3167125": "sangrampatil5150  Instead of an absolute value, if your prediction is in a certain range (1000 Angstroms) then it is counted as true positive. You can check that in the description",
    "3167158": "tom99763 Hmm, yeah, i already read the description, but like in the `train_labels.csv`, I was curious about what the actual perfect true labels would be",
    "3167235": "Well, if you look at the tomo_id column in train_labels.csv, you will find these entries!"
  },
  "source": "meta"
}