{
  "id": 478158,
  "title": "Is the linear regression model sufficient?",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/478158",
  "author_name": "yunsuxiaozi",
  "post_date": "2024-02-19T11:43:23.579000",
  "votes": 7,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I conducted an experiment here and submitted the same feature engineering using tree models and linear regression models.</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look</a>      0.508</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception</a>  0.518</p>\n<p>Due to the many missing values in the dataset provided here, I filled them with -1, which made the linear regression model perform well in this competition.</p>",
  "messages": [
    {
      "id": 2658766,
      "postDate": "2024-02-19T11:43:23.580Z",
      "content": "<p>I conducted an experiment here and submitted the same feature engineering using tree models and linear regression models.</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look</a>      0.508</p>\n<p><a href=\"https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception</a>  0.518</p>\n<p>Due to the many missing values in the dataset provided here, I filled them with -1, which made the linear regression model perform well in this competition.</p>",
      "rawMarkdown": "I conducted an experiment here and submitted the same feature engineering using tree models and linear regression models.\n\nhttps://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look      0.508\n\nhttps://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception  0.518\n\nDue to the many missing values in the dataset provided here, I filled them with -1, which made the linear regression model perform well in this competition.\n",
      "votes": 7
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2658766": "I conducted an experiment here and submitted the same feature engineering using tree models and linear regression models.\n\nhttps://www.kaggle.com/code/yunsuxiaozi/home-credit-first-look      0.508\n\nhttps://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception  0.518\n\nDue to the many missing values in the dataset provided here, I filled them with -1, which made the linear regression model perform well in this competition.\n"
  }
}