{
  "id": 80931,
  "title": "Top Solution",
  "url": "/competitions/quora-insincere-questions-classification/discussion/80931",
  "author_name": "",
  "post_date": "2019-02-18T01:51:21.090020200Z",
  "votes": 29,
  "comment_count": 1,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568\">1st place solution</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80665\">1st place solution (public LB)</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-487170\">2nd place solution</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495\">3rd place kernel</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-481198\">4th place solution (with github)</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561\">7th place solution - bucketing</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718\">10th place solution - Meta embedding, EMA, Ensemble</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499\">13th place solution-kernel</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80540\">15th Solution - focus on models</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80696\">18th place solution from 300-th at Public LB</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80527\">20th solution - 2 models, various embeds, mixed loss</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80494\">27th kernel</a>  </p>",
  "messages": [
    {
      "id": "473427",
      "postDate": "02/18/2019 01:51:21",
      "content": "<p><a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568\">1st place solution</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80665\">1st place solution (public LB)</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-487170\">2nd place solution</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495\">3rd place kernel</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-481198\">4th place solution (with github)</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561\">7th place solution - bucketing</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718\">10th place solution - Meta embedding, EMA, Ensemble</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499\">13th place solution-kernel</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80540\">15th Solution - focus on models</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80696\">18th place solution from 300-th at Public LB</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80527\">20th solution - 2 models, various embeds, mixed loss</a> <br>\n<a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80494\">27th kernel</a>  </p>",
      "rawMarkdown": "[1st place solution](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568)  \n[1st place solution (public LB)]( https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80665)  \n[2nd place solution](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-487170)  \n[3rd place kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495)  \n[4th place solution (with github)](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-481198)  \n[7th place solution - bucketing](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561)  \n[10th place solution - Meta embedding, EMA, Ensemble](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718)  \n[13th place solution-kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499)  \n[15th Solution - focus on models](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80540)  \n[18th place solution from 300-th at Public LB](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80696)  \n[20th solution - 2 models, various embeds, mixed loss](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80527)  \n[27th kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80494)",
      "votes": null
    },
    {
      "id": "473523",
      "postDate": "02/18/2019 06:01:25",
      "content": "<p>Thanks, @linxi for aggregating the top solutions.</p>",
      "rawMarkdown": "Thanks, @linxi for aggregating the top solutions.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 473523,
      "author_name": "karthik7395",
      "author_url": "",
      "post_date": "02/18/2019 06:01:25",
      "content": "<p>Thanks, @linxi for aggregating the top solutions.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "473427": "[1st place solution](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568)  \n[1st place solution (public LB)]( https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80665)  \n[2nd place solution](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-487170)  \n[3rd place kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495)  \n[4th place solution (with github)](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-481198)  \n[7th place solution - bucketing](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561)  \n[10th place solution - Meta embedding, EMA, Ensemble](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718)  \n[13th place solution-kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499)  \n[15th Solution - focus on models](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80540)  \n[18th place solution from 300-th at Public LB](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80696)  \n[20th solution - 2 models, various embeds, mixed loss](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80527)  \n[27th kernel](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80494)",
    "473523": "Thanks, @linxi for aggregating the top solutions."
  },
  "source": "meta"
}