{
  "id": 579828,
  "title": "any way to evaluate the model",
  "url": "/competitions/birdclef-2025/discussion/579828",
  "author_name": "",
  "post_date": "2025-05-20T16:17:07.648980800Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Is there any way to evaluate the performance of the model without submitting it?🥹  I am a newbie.</p>",
  "messages": [
    {
      "id": "3205963",
      "postDate": "05/20/2025 16:17:07",
      "content": "<p>Is there any way to evaluate the performance of the model without submitting it?🥹  I am a newbie.</p>",
      "rawMarkdown": "Is there any way to evaluate the performance of the model without submitting it?🥹  I am a newbie.",
      "votes": null
    },
    {
      "id": "3206275",
      "postDate": "05/21/2025 05:37:34",
      "content": "<p>Hi, so you can evaluate your model inside a Kaggle notebook by splitting your data into training and validation sets. After training, run your model on the validation set and calculate metrics like accuracy or F1-score using libraries like sklearn. This way, you can check how well your model works before any submission</p>",
      "rawMarkdown": "Hi, so you can evaluate your model inside a Kaggle notebook by splitting your data into training and validation sets. After training, run your model on the validation set and calculate metrics like accuracy or F1-score using libraries like sklearn. This way, you can check how well your model works before any submission",
      "votes": null
    },
    {
      "id": "3206295",
      "postDate": "05/21/2025 06:16:01",
      "content": "<p>Thanks for the answer, I tried to calculate the indicator, it seems that I paid too much attention to the loss and post-processing part</p>",
      "rawMarkdown": "Thanks for the answer, I tried to calculate the indicator, it seems that I paid too much attention to the loss and post-processing part",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3206275,
      "author_name": "dyutidasmahaptra",
      "author_url": "",
      "post_date": "05/21/2025 05:37:34",
      "content": "<p>Hi, so you can evaluate your model inside a Kaggle notebook by splitting your data into training and validation sets. After training, run your model on the validation set and calculate metrics like accuracy or F1-score using libraries like sklearn. This way, you can check how well your model works before any submission</p>",
      "votes": null,
      "replies": [
        {
          "id": 3206295,
          "author_name": "xiayuxuan",
          "author_url": "",
          "post_date": "05/21/2025 06:16:01",
          "content": "<p>Thanks for the answer, I tried to calculate the indicator, it seems that I paid too much attention to the loss and post-processing part</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3205963": "Is there any way to evaluate the performance of the model without submitting it?🥹  I am a newbie.",
    "3206275": "Hi, so you can evaluate your model inside a Kaggle notebook by splitting your data into training and validation sets. After training, run your model on the validation set and calculate metrics like accuracy or F1-score using libraries like sklearn. This way, you can check how well your model works before any submission",
    "3206295": "Thanks for the answer, I tried to calculate the indicator, it seems that I paid too much attention to the loss and post-processing part"
  },
  "source": "meta"
}