{
  "id": 115290,
  "title": "Feature Engineering for building_metadata",
  "url": "/competitions/ashrae-energy-prediction/discussion/115290",
  "author_name": "",
  "post_date": "2019-11-01T15:58:09.419985700Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Can somebody tell me accuracy of finding missing values for floor_count using any regression algorithm? What is the highest accuracy you get on validation data?</p>",
  "messages": [
    {
      "id": "663210",
      "postDate": "11/01/2019 15:58:09",
      "content": "<p>Can somebody tell me accuracy of finding missing values for floor_count using any regression algorithm? What is the highest accuracy you get on validation data?</p>",
      "rawMarkdown": "Can somebody tell me accuracy of finding missing values for floor_count using any regression algorithm? What is the highest accuracy you get on validation data?",
      "votes": null
    },
    {
      "id": "664069",
      "postDate": "11/03/2019 05:43:04",
      "content": "<p>I am assuming the missing values in floor denotes that it's single floor building ,\nComing to your question some alogrithms:\n1. you can try kNN for determining the number of a floor using features like , year of build , primary use , average meter reading , square foor , average number of meter types installed  etc .\nIn my opinion the squarefeet is a good indicator of number of floors 👍 </p>",
      "rawMarkdown": "I am assuming the missing values in floor denotes that it's single floor building ,\nComing to your question some alogrithms:\n1. you can try kNN for determining the number of a floor using features like , year of build , primary use , average meter reading , square foor , average number of meter types installed  etc .\nIn my opinion the squarefeet is a good indicator of number of floors 👍",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 664069,
      "author_name": "avikrams",
      "author_url": "",
      "post_date": "11/03/2019 05:43:04",
      "content": "<p>I am assuming the missing values in floor denotes that it's single floor building ,\nComing to your question some alogrithms:\n1. you can try kNN for determining the number of a floor using features like , year of build , primary use , average meter reading , square foor , average number of meter types installed  etc .\nIn my opinion the squarefeet is a good indicator of number of floors 👍 </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "663210": "Can somebody tell me accuracy of finding missing values for floor_count using any regression algorithm? What is the highest accuracy you get on validation data?",
    "664069": "I am assuming the missing values in floor denotes that it's single floor building ,\nComing to your question some alogrithms:\n1. you can try kNN for determining the number of a floor using features like , year of build , primary use , average meter reading , square foor , average number of meter types installed  etc .\nIn my opinion the squarefeet is a good indicator of number of floors 👍"
  },
  "source": "meta"
}