{
  "id": 542005,
  "title": "Data Missingness and Imbalance Issues",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/542005",
  "author_name": "xhdr",
  "post_date": "2024-10-22T14:43:39.363000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>The two biggest problems with this dataset are 1. a lot of data is missing 2. the data is very imbalanced.<br>\nFor the first issue, as mentioned in the dataset description, we need to employ semi-supervised learning techniques. For the second issue, we need to use specialized designs for imbalanced distributions, such as focal loss.</p>",
  "messages": [
    {
      "id": 3025204,
      "postDate": "2024-10-22T14:43:39.363Z",
      "content": "<p>The two biggest problems with this dataset are 1. a lot of data is missing 2. the data is very imbalanced.<br>\nFor the first issue, as mentioned in the dataset description, we need to employ semi-supervised learning techniques. For the second issue, we need to use specialized designs for imbalanced distributions, such as focal loss.</p>",
      "rawMarkdown": "The two biggest problems with this dataset are 1. a lot of data is missing 2. the data is very imbalanced.\nFor the first issue, as mentioned in the dataset description, we need to employ semi-supervised learning techniques. For the second issue, we need to use specialized designs for imbalanced distributions, such as focal loss.",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3025204": "The two biggest problems with this dataset are 1. a lot of data is missing 2. the data is very imbalanced.\nFor the first issue, as mentioned in the dataset description, we need to employ semi-supervised learning techniques. For the second issue, we need to use specialized designs for imbalanced distributions, such as focal loss."
  }
}