{
  "id": 611938,
  "title": "Time series",
  "url": "/competitions/MABe-mouse-behavior-detection/discussion/611938",
  "author_name": "lucian kucera",
  "post_date": "2025-10-15T17:27:31.484000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Why do people avoid time series models. It seems like timeseries models will most likely be winners, just from seeing dataset. Or does time information mean nothing and classification of isolated frames is good enough?</p>\n<p>I feel like time information should be very important, just from the nature of the data.</p>",
  "messages": [
    {
      "id": 3302379,
      "postDate": "2025-10-15T17:27:31.483Z",
      "content": "<p>Why do people avoid time series models. It seems like timeseries models will most likely be winners, just from seeing dataset. Or does time information mean nothing and classification of isolated frames is good enough?</p>\n<p>I feel like time information should be very important, just from the nature of the data.</p>",
      "rawMarkdown": "Why do people avoid time series models. It seems like timeseries models will most likely be winners, just from seeing dataset. Or does time information mean nothing and classification of isolated frames is good enough?\n\nI feel like time information should be very important, just from the nature of the data.",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3302379": "Why do people avoid time series models. It seems like timeseries models will most likely be winners, just from seeing dataset. Or does time information mean nothing and classification of isolated frames is good enough?\n\nI feel like time information should be very important, just from the nature of the data."
  }
}