{
  "id": 487499,
  "title": "Why is 2-stage training effective in this competition?",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/487499",
  "author_name": "nynyny67",
  "post_date": "2024-03-29T08:37:58.747000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Spliting training dataset and training models in two stages may be good way to tackle this competition.<br>\nBut CV strategies are different depending on the person, and LB have relatively small dataset so I'm not confident to choose one way based on LB scores.</p>\n<p>There seems to be several ways to train models.</p>\n<ol>\n<li>No splitting.</li>\n<li>splitting based on the kl-div loss</li>\n<li>splitting based on the sum of the expert votes</li>\n</ol>\n<p>I don't understand which method is acceptable.<br>\nPlease share your option and the reason why you choose it.<br>\nWelcome different options.</p>",
  "messages": [
    {
      "id": 2721826,
      "postDate": "2024-03-29T08:37:58.747Z",
      "content": "<p>Spliting training dataset and training models in two stages may be good way to tackle this competition.<br>\nBut CV strategies are different depending on the person, and LB have relatively small dataset so I'm not confident to choose one way based on LB scores.</p>\n<p>There seems to be several ways to train models.</p>\n<ol>\n<li>No splitting.</li>\n<li>splitting based on the kl-div loss</li>\n<li>splitting based on the sum of the expert votes</li>\n</ol>\n<p>I don't understand which method is acceptable.<br>\nPlease share your option and the reason why you choose it.<br>\nWelcome different options.</p>",
      "rawMarkdown": "Spliting training dataset and training models in two stages may be good way to tackle this competition.\nBut CV strategies are different depending on the person, and LB have relatively small dataset so I'm not confident to choose one way based on LB scores.\n\nThere seems to be several ways to train models.\n\n1. No splitting.\n2. splitting based on the kl-div loss\n3. splitting based on the sum of the expert votes\n\nI don't understand which method is acceptable.\nPlease share your option and the reason why you choose it.\nWelcome different options.",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2721826": "Spliting training dataset and training models in two stages may be good way to tackle this competition.\nBut CV strategies are different depending on the person, and LB have relatively small dataset so I'm not confident to choose one way based on LB scores.\n\nThere seems to be several ways to train models.\n\n1. No splitting.\n2. splitting based on the kl-div loss\n3. splitting based on the sum of the expert votes\n\nI don't understand which method is acceptable.\nPlease share your option and the reason why you choose it.\nWelcome different options."
  }
}