{
  "id": 80499,
  "title": "13th place solution",
  "url": "/competitions/quora-insincere-questions-classification/writeups/the-private-boom-13th-place-solution",
  "author_name": "",
  "post_date": "2019-02-14T04:14:25.686173800Z",
  "votes": 33,
  "comment_count": 12,
  "views": 0,
  "content": "<p>Hi, kagglers<br>\nI have published the 13th place kernel</p>\n\n<p><a href=\"https://www.kaggle.com/canming/ensemble-mean-iii-64-36\">https://www.kaggle.com/canming/ensemble-mean-iii-64-36</a>\n<br>\nthe sum of my solution:</p>\n\n<ul>\n<li>LaTex and https cleaning.</li>\n<li>Puncts split.</li>\n<li>Embedding:Glove*0.64+ Params*0.36</li>\n<li>3 models to ensemble</li>\n<li>tune architecture params and AdamW weight decays</li>\n</ul>",
  "messages": [
    {
      "id": "471136",
      "postDate": "02/14/2019 04:14:25",
      "content": "<p>Hi, kagglers<br>\nI have published the 13th place kernel</p>\n\n<p><a href=\"https://www.kaggle.com/canming/ensemble-mean-iii-64-36\">https://www.kaggle.com/canming/ensemble-mean-iii-64-36</a>\n<br>\nthe sum of my solution:</p>\n\n<ul>\n<li>LaTex and https cleaning.</li>\n<li>Puncts split.</li>\n<li>Embedding:Glove*0.64+ Params*0.36</li>\n<li>3 models to ensemble</li>\n<li>tune architecture params and AdamW weight decays</li>\n</ul>",
      "rawMarkdown": "Hi, kagglers<br>\nI have published the 13th place kernel\n\n[https://www.kaggle.com/canming/ensemble-mean-iii-64-36][1]\n  [1]: https://www.kaggle.com/canming/ensemble-mean-iii-64-36\n\n<br>\nthe sum of my solution:\n\n - LaTex and https cleaning.\n - Puncts split.\n - Embedding:Glove*0.64+ Params*0.36\n - 3 models to ensemble\n - tune architecture params and AdamW weight decays",
      "votes": null
    },
    {
      "id": "471139",
      "postDate": "02/14/2019 04:18:17",
      "content": "<p>nice work!</p>",
      "rawMarkdown": "nice work!",
      "votes": null
    },
    {
      "id": "471140",
      "postDate": "02/14/2019 04:19:06",
      "content": "<p>Thanks!</p>",
      "rawMarkdown": "Thanks!",
      "votes": null
    },
    {
      "id": "471148",
      "postDate": "02/14/2019 04:41:45",
      "content": "<p>Congrats!</p>",
      "rawMarkdown": "Congrats!",
      "votes": null
    },
    {
      "id": "471149",
      "postDate": "02/14/2019 04:42:49",
      "content": "<p>Thank u</p>",
      "rawMarkdown": "Thank u",
      "votes": null
    },
    {
      "id": "471150",
      "postDate": "02/14/2019 04:43:30",
      "content": "<p>nice kernel</p>",
      "rawMarkdown": "nice kernel",
      "votes": null
    },
    {
      "id": "471156",
      "postDate": "02/14/2019 05:01:26",
      "content": "<p>Thanks :)</p>",
      "rawMarkdown": "Thanks :)",
      "votes": null
    },
    {
      "id": "471377",
      "postDate": "02/14/2019 11:16:27",
      "content": "<p>Congrats!!  Thanks your share, I learned a lot from your kernel !!</p>",
      "rawMarkdown": "Congrats!!  Thanks your share, I learned a lot from your kernel !!",
      "votes": null
    },
    {
      "id": "471388",
      "postDate": "02/14/2019 11:36:37",
      "content": "<p><a href=\"/canming\">@canming</a>, congrats and thanks for sharing your solution.</p>",
      "rawMarkdown": "canming, congrats and thanks for sharing your solution.",
      "votes": null
    },
    {
      "id": "471423",
      "postDate": "02/14/2019 12:45:39",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks",
      "votes": null
    },
    {
      "id": "471424",
      "postDate": "02/14/2019 12:46:21",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks",
      "votes": null
    },
    {
      "id": "471648",
      "postDate": "02/14/2019 18:02:42",
      "content": "<p>Congratulations on the top 20 finish!  Thank you for sharing!</p>",
      "rawMarkdown": "Congratulations on the top 20 finish!  Thank you for sharing!",
      "votes": null
    },
    {
      "id": "473806",
      "postDate": "02/18/2019 14:47:31",
      "content": "<p>Thank you for sharing!</p>",
      "rawMarkdown": "Thank you for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 471139,
      "author_name": "chizhu2018",
      "author_url": "",
      "post_date": "02/14/2019 04:18:17",
      "content": "<p>nice work!</p>",
      "votes": null,
      "replies": [
        {
          "id": 471140,
          "author_name": "canming",
          "author_url": "",
          "post_date": "02/14/2019 04:19:06",
          "content": "<p>Thanks!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 471148,
      "author_name": "laevatein",
      "author_url": "",
      "post_date": "02/14/2019 04:41:45",
      "content": "<p>Congrats!</p>",
      "votes": null,
      "replies": [
        {
          "id": 471149,
          "author_name": "canming",
          "author_url": "",
          "post_date": "02/14/2019 04:42:49",
          "content": "<p>Thank u</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 471150,
      "author_name": "alexyung757",
      "author_url": "",
      "post_date": "02/14/2019 04:43:30",
      "content": "<p>nice kernel</p>",
      "votes": null,
      "replies": [
        {
          "id": 471156,
          "author_name": "canming",
          "author_url": "",
          "post_date": "02/14/2019 05:01:26",
          "content": "<p>Thanks :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 471377,
      "author_name": "super13579",
      "author_url": "",
      "post_date": "02/14/2019 11:16:27",
      "content": "<p>Congrats!!  Thanks your share, I learned a lot from your kernel !!</p>",
      "votes": null,
      "replies": [
        {
          "id": 471423,
          "author_name": "canming",
          "author_url": "",
          "post_date": "02/14/2019 12:45:39",
          "content": "<p>Thanks</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 471388,
      "author_name": "sheriytm",
      "author_url": "",
      "post_date": "02/14/2019 11:36:37",
      "content": "<p><a href=\"/canming\">@canming</a>, congrats and thanks for sharing your solution.</p>",
      "votes": null,
      "replies": [
        {
          "id": 471424,
          "author_name": "canming",
          "author_url": "",
          "post_date": "02/14/2019 12:46:21",
          "content": "<p>Thanks</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 471648,
      "author_name": "mtodisco10",
      "author_url": "",
      "post_date": "02/14/2019 18:02:42",
      "content": "<p>Congratulations on the top 20 finish!  Thank you for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 473806,
      "author_name": "divigl1",
      "author_url": "",
      "post_date": "02/18/2019 14:47:31",
      "content": "<p>Thank you for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "471136": "Hi, kagglers<br>\nI have published the 13th place kernel\n\n[https://www.kaggle.com/canming/ensemble-mean-iii-64-36][1]\n  [1]: https://www.kaggle.com/canming/ensemble-mean-iii-64-36\n\n<br>\nthe sum of my solution:\n\n - LaTex and https cleaning.\n - Puncts split.\n - Embedding:Glove*0.64+ Params*0.36\n - 3 models to ensemble\n - tune architecture params and AdamW weight decays",
    "471139": "nice work!",
    "471140": "Thanks!",
    "471148": "Congrats!",
    "471149": "Thank u",
    "471150": "nice kernel",
    "471156": "Thanks :)",
    "471377": "Congrats!!  Thanks your share, I learned a lot from your kernel !!",
    "471388": "canming, congrats and thanks for sharing your solution.",
    "471423": "Thanks",
    "471424": "Thanks",
    "471648": "Congratulations on the top 20 finish!  Thank you for sharing!",
    "473806": "Thank you for sharing!"
  },
  "source": "meta"
}