{
  "id": 229320,
  "title": "how to choose the correct label when there is a double version of the same cleaned labels exist",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/229320",
  "author_name": "",
  "post_date": "2021-03-29T17:21:24.898246600Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>hi all, in prediction how do we choose the correct label when there is a double version of the same cleaned labels exist?</p>",
  "messages": [
    {
      "id": "1256240",
      "postDate": "03/29/2021 17:21:24",
      "content": "<p>hi all, in prediction how do we choose the correct label when there is a double version of the same cleaned labels exist?</p>",
      "rawMarkdown": "hi all, in prediction how do we choose the correct label when there is a double version of the same cleaned labels exist?",
      "votes": null
    },
    {
      "id": "1261902",
      "postDate": "04/03/2021 14:58:26",
      "content": "<p>What about if you consider frequency? This is a basic one I have in mind</p>",
      "rawMarkdown": "What about if you consider frequency? This is a basic one I have in mind",
      "votes": null
    },
    {
      "id": "1264352",
      "postDate": "04/06/2021 05:11:10",
      "content": "<p>If I understand the rules correctly, the right label version is the one that is observed in the specific tested document.</p>",
      "rawMarkdown": "If I understand the rules correctly, the right label version is the one that is observed in the specific tested document.",
      "votes": null
    },
    {
      "id": "1266948",
      "postDate": "04/08/2021 07:37:52",
      "content": "<p>Hi! My view - choose the one which your model believes in mostly, and when the score will be calculated BOTH versions of the same cleaned labels will be counted as TP</p>",
      "rawMarkdown": "Hi! My view - choose the one which your model believes in mostly, and when the score will be calculated BOTH versions of the same cleaned labels will be counted as TP",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1261902,
      "author_name": "indynavarrovidal",
      "author_url": "",
      "post_date": "04/03/2021 14:58:26",
      "content": "<p>What about if you consider frequency? This is a basic one I have in mind</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1264352,
      "author_name": "poedator",
      "author_url": "",
      "post_date": "04/06/2021 05:11:10",
      "content": "<p>If I understand the rules correctly, the right label version is the one that is observed in the specific tested document.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1266948,
      "author_name": "dmitriydubovskiy",
      "author_url": "",
      "post_date": "04/08/2021 07:37:52",
      "content": "<p>Hi! My view - choose the one which your model believes in mostly, and when the score will be calculated BOTH versions of the same cleaned labels will be counted as TP</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1256240": "hi all, in prediction how do we choose the correct label when there is a double version of the same cleaned labels exist?",
    "1261902": "What about if you consider frequency? This is a basic one I have in mind",
    "1264352": "If I understand the rules correctly, the right label version is the one that is observed in the specific tested document.",
    "1266948": "Hi! My view - choose the one which your model believes in mostly, and when the score will be calculated BOTH versions of the same cleaned labels will be counted as TP"
  },
  "source": "meta"
}