{
  "id": 268455,
  "title": "Understanding the Evaluation metric: AUC ( Area Under Curve)",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/268455",
  "author_name": "",
  "post_date": "2021-08-27T13:26:15.876454Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p><a href=\"https://www.youtube.com/watch?v=4jRBRDbJemM\" target=\"_blank\">Here</a> is a great explanation af the evaluation metric <strong>AUC-ROC</strong> by StatQuest</p>\n<p><a href=\"https://www.analyticsvidhya.com/blog/2020/06/auc-roc-curve-machine-learning/\" target=\"_blank\">Reference</a><br>\nThanks</p>",
  "messages": [
    {
      "id": "1492855",
      "postDate": "08/27/2021 13:26:15",
      "content": "<p><a href=\"https://www.youtube.com/watch?v=4jRBRDbJemM\" target=\"_blank\">Here</a> is a great explanation af the evaluation metric <strong>AUC-ROC</strong> by StatQuest</p>\n<p><a href=\"https://www.analyticsvidhya.com/blog/2020/06/auc-roc-curve-machine-learning/\" target=\"_blank\">Reference</a><br>\nThanks</p>",
      "rawMarkdown": "[Here](https://www.youtube.com/watch?v=4jRBRDbJemM) is a great explanation af the evaluation metric **AUC-ROC** by StatQuest\n\n\n[Reference](https://www.analyticsvidhya.com/blog/2020/06/auc-roc-curve-machine-learning/)\nThanks",
      "votes": null
    },
    {
      "id": "1505203",
      "postDate": "09/07/2021 03:35:39",
      "content": "<p>Thank you for this starting point towards understanding practical AUC.</p>",
      "rawMarkdown": "Thank you for this starting point towards understanding practical AUC.",
      "votes": null
    },
    {
      "id": "1559963",
      "postDate": "10/27/2021 08:39:00",
      "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": 1505203,
      "author_name": "michaelrivard",
      "author_url": "",
      "post_date": "09/07/2021 03:35:39",
      "content": "<p>Thank you for this starting point towards understanding practical AUC.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1559963,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 08:39:00",
      "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": {
    "1492855": "[Here](https://www.youtube.com/watch?v=4jRBRDbJemM) is a great explanation af the evaluation metric **AUC-ROC** by StatQuest\n\n\n[Reference](https://www.analyticsvidhya.com/blog/2020/06/auc-roc-curve-machine-learning/)\nThanks",
    "1505203": "Thank you for this starting point towards understanding practical AUC.",
    "1559963": "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"
}