{
  "id": 541548,
  "title": "Loss Function",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/541548",
  "author_name": "",
  "post_date": "2024-10-20T06:17:19.902348900Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>What loss function should we use in training?</p>",
  "messages": [
    {
      "id": "3022973",
      "postDate": "10/20/2024 06:17:19",
      "content": "<p>What loss function should we use in training?</p>",
      "rawMarkdown": "What loss function should we use in training?",
      "votes": null
    },
    {
      "id": "3023602",
      "postDate": "10/20/2024 18:29:14",
      "content": "<p>We can show that MSE is nearly equivalent to R2.</p>",
      "rawMarkdown": "We can show that MSE is nearly equivalent to R2.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3023602,
      "author_name": "lucasmorin",
      "author_url": "",
      "post_date": "10/20/2024 18:29:14",
      "content": "<p>We can show that MSE is nearly equivalent to R2.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3022973": "What loss function should we use in training?",
    "3023602": "We can show that MSE is nearly equivalent to R2."
  },
  "source": "meta"
}