{
  "id": 589957,
  "title": "What is your best score without the time series ?",
  "url": "/competitions/drw-crypto-market-prediction/discussion/589957",
  "author_name": "YannFb",
  "post_date": "2025-07-16T17:09:12.840000",
  "votes": 0,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I want to make a thread to assess the true distribution of performances (i.e. the ones lower than 0.2)</p>\n<p>I personnally achieved 0.09 as my maximal score until now.</p>",
  "messages": [
    {
      "id": 3249573,
      "postDate": "2025-07-16T17:39:47.203Z",
      "content": "<p>I was able to get ~0.11, but I used time series to figure out which features were stable and focused on those features. Without any future insights nearly 0.1. Before the new data was released I was at 0.13.</p>",
      "rawMarkdown": "I was able to get ~0.11, but I used time series to figure out which features were stable and focused on those features. Without any future insights nearly 0.1. Before the new data was released I was at 0.13.",
      "votes": 2,
      "replies": [
        {
          "id": 3250217,
          "postDate": "2025-07-17T22:56:41.630Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    },
    {
      "id": 3249555,
      "postDate": "2025-07-16T17:09:12.840Z",
      "content": "<p>I want to make a thread to assess the true distribution of performances (i.e. the ones lower than 0.2)</p>\n<p>I personnally achieved 0.09 as my maximal score until now.</p>",
      "rawMarkdown": "I want to make a thread to assess the true distribution of performances (i.e. the ones lower than 0.2)\n\nI personnally achieved 0.09 as my maximal score until now."
    }
  ],
  "comments": [
    {
      "id": 3249573,
      "author_name": "Taylor S. Amarel",
      "author_url": "",
      "post_date": "2025-07-16T17:39:47.203000",
      "content": "<p>I was able to get ~0.11, but I used time series to figure out which features were stable and focused on those features. Without any future insights nearly 0.1. Before the new data was released I was at 0.13.</p>",
      "votes": 2,
      "replies": [
        {
          "id": 3250217,
          "author_name": "",
          "author_url": "",
          "post_date": "2025-07-17T22:56:41.630000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3249573": "I was able to get ~0.11, but I used time series to figure out which features were stable and focused on those features. Without any future insights nearly 0.1. Before the new data was released I was at 0.13.",
    "3249555": "I want to make a thread to assess the true distribution of performances (i.e. the ones lower than 0.2)\n\nI personnally achieved 0.09 as my maximal score until now."
  }
}