{
  "id": 271106,
  "title": "The way sampling false (bad) datas",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/271106",
  "author_name": "",
  "post_date": "2021-09-08T15:17:30.617392900Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi guys. I made kernel for \"filtering Bad Datas\"<br>\nthe purpose is divide train data into 4 groups (tp,tn,fp,fn)<br>\nand removed which have low score data in false positive, false negative</p>\n<p>please check this kernel.<br>\n<a href=\"https://www.kaggle.com/leemop/sampling-ultimate-bad-data-using-tfrecords\" target=\"_blank\">link</a></p>\n<p>if it informative or helped please upvote :)<br>\nThanks.</p>",
  "messages": [
    {
      "id": "1506828",
      "postDate": "09/08/2021 15:17:30",
      "content": "<p>Hi guys. I made kernel for \"filtering Bad Datas\"<br>\nthe purpose is divide train data into 4 groups (tp,tn,fp,fn)<br>\nand removed which have low score data in false positive, false negative</p>\n<p>please check this kernel.<br>\n<a href=\"https://www.kaggle.com/leemop/sampling-ultimate-bad-data-using-tfrecords\" target=\"_blank\">link</a></p>\n<p>if it informative or helped please upvote :)<br>\nThanks.</p>",
      "rawMarkdown": "Hi guys. I made kernel for \"filtering Bad Datas\"\nthe purpose is divide train data into 4 groups (tp,tn,fp,fn)\nand removed which have low score data in false positive, false negative\n\nplease check this kernel.\n[link](https://www.kaggle.com/leemop/sampling-ultimate-bad-data-using-tfrecords)\n\nif it informative or helped please upvote :)\nThanks.",
      "votes": null
    },
    {
      "id": "1559969",
      "postDate": "10/27/2021 08:39:18",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1559969,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 08:39:18",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1506828": "Hi guys. I made kernel for \"filtering Bad Datas\"\nthe purpose is divide train data into 4 groups (tp,tn,fp,fn)\nand removed which have low score data in false positive, false negative\n\nplease check this kernel.\n[link](https://www.kaggle.com/leemop/sampling-ultimate-bad-data-using-tfrecords)\n\nif it informative or helped please upvote :)\nThanks.",
    "1559969": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}