{
  "id": 82076,
  "title": "Is Lightgbm Winner again?",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/82076",
  "author_name": "Rraj",
  "post_date": "2019-02-27T04:29:41.833000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>However, this is very obvious and clear about the \" Go to Algorithm\" . But this competition has been tricky. Still, is it lightgbm again or xgboost? I tried lgb for regression and xgb for classification of outliers. What about you? Did you spend most of the time in param tuning only ? </p>",
  "messages": [
    {
      "id": 479331,
      "postDate": "2019-02-27T04:29:41.833Z",
      "content": "<p>However, this is very obvious and clear about the \" Go to Algorithm\" . But this competition has been tricky. Still, is it lightgbm again or xgboost? I tried lgb for regression and xgb for classification of outliers. What about you? Did you spend most of the time in param tuning only ? </p>",
      "rawMarkdown": "However, this is very obvious and clear about the \" Go to Algorithm\" . But this competition has been tricky. Still, is it lightgbm again or xgboost? I tried lgb for regression and xgb for classification of outliers. What about you? Did you spend most of the time in param tuning only ? ",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "479331": "However, this is very obvious and clear about the \" Go to Algorithm\" . But this competition has been tricky. Still, is it lightgbm again or xgboost? I tried lgb for regression and xgb for classification of outliers. What about you? Did you spend most of the time in param tuning only ? "
  }
}