{
  "id": 582249,
  "title": "To find the time-dependent features",
  "url": "/competitions/drw-crypto-market-prediction/discussion/582249",
  "author_name": "AndrewGuanzc",
  "post_date": "2025-05-30T04:28:41.993000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls\" target=\"_blank\">https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls</a></p>\n<p>In this notebook, both the multi-classification and binary classification models achieve the highest performance. This suggests the presence of time-dependent features, which can be identified through feature importance analysis.</p>",
  "messages": [
    {
      "id": 3213477,
      "postDate": "2025-05-30T04:28:41.993Z",
      "content": "<p><a href=\"https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls\" target=\"_blank\">https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls</a></p>\n<p>In this notebook, both the multi-classification and binary classification models achieve the highest performance. This suggests the presence of time-dependent features, which can be identified through feature importance analysis.</p>",
      "rawMarkdown": "https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls\n\nIn this notebook, both the multi-classification and binary classification models achieve the highest performance. This suggests the presence of time-dependent features, which can be identified through feature importance analysis."
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3213477": "https://www.kaggle.com/code/andrewguanzc/drw-xgb-cls\n\nIn this notebook, both the multi-classification and binary classification models achieve the highest performance. This suggests the presence of time-dependent features, which can be identified through feature importance analysis."
  }
}