{
  "id": 82075,
  "title": "28th solution",
  "url": "/competitions/elo-merchant-category-recommendation/writeups/datawhale-next-in-money-28th-solution",
  "author_name": "",
  "post_date": "2019-02-27T04:27:38.613717600Z",
  "votes": 18,
  "comment_count": 7,
  "views": 0,
  "content": "<p>this is my first time play kaggle\ni want to share something about our model\nwe build two model\na regression model without outliers and a binary model，target is outliers\nthe final result ＝ regression result + (-33*binary result)\nbest score in pb is 3.677</p>",
  "messages": [
    {
      "id": "479330",
      "postDate": "02/27/2019 04:27:38",
      "content": "<p>this is my first time play kaggle\ni want to share something about our model\nwe build two model\na regression model without outliers and a binary model，target is outliers\nthe final result ＝ regression result + (-33*binary result)\nbest score in pb is 3.677</p>",
      "rawMarkdown": "this is my first time play kaggle\ni want to share something about our model\nwe build two model\na regression model without outliers and a binary model，target is outliers\nthe final result ＝ regression result + (-33*binary result)\nbest score in pb is 3.677",
      "votes": null
    },
    {
      "id": "479347",
      "postDate": "02/27/2019 04:50:04",
      "content": "<p>Thank you for sharing</p>",
      "rawMarkdown": "Thank you for sharing",
      "votes": null
    },
    {
      "id": "479434",
      "postDate": "02/27/2019 06:11:40",
      "content": "<p>Congratulations, and your solution deserves to be learned, which is concise.</p>",
      "rawMarkdown": "Congratulations, and your solution deserves to be learned, which is concise.",
      "votes": null
    },
    {
      "id": "479499",
      "postDate": "02/27/2019 07:43:45",
      "content": "<p>congratulations <a href=\"/kchenyu\">@kchenyu</a></p>",
      "rawMarkdown": "congratulations @kchenyu",
      "votes": null
    },
    {
      "id": "479522",
      "postDate": "02/27/2019 08:07:00",
      "content": "<p>six six six </p>",
      "rawMarkdown": "six six six",
      "votes": null
    },
    {
      "id": "479666",
      "postDate": "02/27/2019 10:28:29",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    },
    {
      "id": "479680",
      "postDate": "02/27/2019 10:37:00",
      "content": "<p>Congratulations on your first competition!\nvery simple and clever solution</p>",
      "rawMarkdown": "Congratulations on your first competition!\nvery simple and clever solution",
      "votes": null
    },
    {
      "id": "479759",
      "postDate": "02/27/2019 12:00:32",
      "content": "<p>Could you please ellaborate more on the feature engineering staff?</p>",
      "rawMarkdown": "Could you please ellaborate more on the feature engineering staff?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 479347,
      "author_name": "rooshroosh",
      "author_url": "",
      "post_date": "02/27/2019 04:50:04",
      "content": "<p>Thank you for sharing</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479434,
      "author_name": "liewmanchoi",
      "author_url": "",
      "post_date": "02/27/2019 06:11:40",
      "content": "<p>Congratulations, and your solution deserves to be learned, which is concise.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479499,
      "author_name": "karthik7395",
      "author_url": "",
      "post_date": "02/27/2019 07:43:45",
      "content": "<p>congratulations <a href=\"/kchenyu\">@kchenyu</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479522,
      "author_name": "maying",
      "author_url": "",
      "post_date": "02/27/2019 08:07:00",
      "content": "<p>six six six </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479666,
      "author_name": "m18311287110",
      "author_url": "",
      "post_date": "02/27/2019 10:28:29",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479680,
      "author_name": "tpthegreat",
      "author_url": "",
      "post_date": "02/27/2019 10:37:00",
      "content": "<p>Congratulations on your first competition!\nvery simple and clever solution</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479759,
      "author_name": "liewmanchoi",
      "author_url": "",
      "post_date": "02/27/2019 12:00:32",
      "content": "<p>Could you please ellaborate more on the feature engineering staff?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "479330": "this is my first time play kaggle\ni want to share something about our model\nwe build two model\na regression model without outliers and a binary model，target is outliers\nthe final result ＝ regression result + (-33*binary result)\nbest score in pb is 3.677",
    "479347": "Thank you for sharing",
    "479434": "Congratulations, and your solution deserves to be learned, which is concise.",
    "479499": "congratulations @kchenyu",
    "479522": "six six six",
    "479666": "Thanks for sharing!",
    "479680": "Congratulations on your first competition!\nvery simple and clever solution",
    "479759": "Could you please ellaborate more on the feature engineering staff?"
  },
  "source": "meta"
}