{
  "id": 41220,
  "title": "Regarding missing gender data",
  "url": "/competitions/kkbox-churn-prediction-challenge/discussion/41220",
  "author_name": "Sky Huang",
  "post_date": "2017-10-14T20:40:29.447000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello,</p>\n\n<p>I am a novice to Kaggle. I am now looking and training the data on members.csv and I have a question regarding gender category. I hope the question would not be too naive. Thanks.</p>\n\n<p>As we know most gender data are missing. Is it fine to assign -1 to the missing gender (as it will also interpret as a type of the gender category). Or if we fit the model with features containing, how do they train the models (I am using sci-kit learn packages).</p>\n\n<p>Thank!</p>",
  "messages": [
    {
      "id": 231436,
      "postDate": "2017-10-14T20:40:29.447Z",
      "content": "<p>Hello,</p>\n\n<p>I am a novice to Kaggle. I am now looking and training the data on members.csv and I have a question regarding gender category. I hope the question would not be too naive. Thanks.</p>\n\n<p>As we know most gender data are missing. Is it fine to assign -1 to the missing gender (as it will also interpret as a type of the gender category). Or if we fit the model with features containing, how do they train the models (I am using sci-kit learn packages).</p>\n\n<p>Thank!</p>",
      "rawMarkdown": "Hello,\n\nI am a novice to Kaggle. I am now looking and training the data on members.csv and I have a question regarding gender category. I hope the question would not be too naive. Thanks.\n\nAs we know most gender data are missing. Is it fine to assign -1 to the missing gender (as it will also interpret as a type of the gender category). Or if we fit the model with features containing, how do they train the models (I am using sci-kit learn packages).\n\nThank!",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "231436": "Hello,\n\nI am a novice to Kaggle. I am now looking and training the data on members.csv and I have a question regarding gender category. I hope the question would not be too naive. Thanks.\n\nAs we know most gender data are missing. Is it fine to assign -1 to the missing gender (as it will also interpret as a type of the gender category). Or if we fit the model with features containing, how do they train the models (I am using sci-kit learn packages).\n\nThank!"
  }
}