{
  "id": 552478,
  "title": "PB:0.451,Place around 150",
  "url": "/competitions/child-mind-institute-problematic-internet-use/writeups/trust-yunbase-pb-0-451-place-around-150",
  "author_name": "",
  "post_date": "2024-12-20T00:32:22.770Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>This competition is like ICR, the shake is too big, like a lottery, there's really nothing to say.My open source solution should be the simplest among silver medals, but it feels like it also relies on luck.</p>\n<p>Because I have been working on CIBMTR recently, I was inspired by Chris to use regression models for this task.</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/2024-cmi-yunbase\">Here </a> is the notebook.</p>\n<p>Unfortunately, I did not select this notebook.</p>",
  "messages": [
    {
      "id": "3076389",
      "postDate": "12/20/2024 00:29:06",
      "content": "<p>This competition is like ICR, the shake is too big, like a lottery, there's really nothing to say.My open source solution should be the simplest among silver medals, but it feels like it also relies on luck.</p>\n<p>Because I have been working on CIBMTR recently, I was inspired by Chris to use regression models for this task.</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/2024-cmi-yunbase\">Here </a> is the notebook.</p>\n<p>Unfortunately, I did not select this notebook.</p>",
      "rawMarkdown": "This competition is like ICR, the shake is too big, like a lottery, there's really nothing to say.My open source solution should be the simplest among silver medals, but it feels like it also relies on luck.\n\nBecause I have been working on CIBMTR recently, I was inspired by Chris to use regression models for this task.\n\n<a href=\"https://www.kaggle.com/code/yunsuxiaozi/2024-cmi-yunbase\">Here </a> is the notebook.\n\nUnfortunately, I did not select this notebook.",
      "votes": null
    },
    {
      "id": "3076392",
      "postDate": "12/20/2024 00:32:26",
      "content": "<p>Well, i think the randomness takes incredible place in this competition. One of my solution is about 0.445, but had very bad performance on LB and CV(lol)</p>",
      "rawMarkdown": "Well, i think the randomness takes incredible place in this competition. One of my solution is about 0.445, but had very bad performance on LB and CV(lol)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3076392,
      "author_name": "jingyanhu",
      "author_url": "",
      "post_date": "12/20/2024 00:32:26",
      "content": "<p>Well, i think the randomness takes incredible place in this competition. One of my solution is about 0.445, but had very bad performance on LB and CV(lol)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3076389": "This competition is like ICR, the shake is too big, like a lottery, there's really nothing to say.My open source solution should be the simplest among silver medals, but it feels like it also relies on luck.\n\nBecause I have been working on CIBMTR recently, I was inspired by Chris to use regression models for this task.\n\n<a href=\"https://www.kaggle.com/code/yunsuxiaozi/2024-cmi-yunbase\">Here </a> is the notebook.\n\nUnfortunately, I did not select this notebook.",
    "3076392": "Well, i think the randomness takes incredible place in this competition. One of my solution is about 0.445, but had very bad performance on LB and CV(lol)"
  },
  "source": "meta"
}