{
  "id": 475057,
  "title": "Visualizing the churn",
  "url": "/competitions/blood-vessel-segmentation/discussion/475057",
  "author_name": "",
  "post_date": "2024-02-07T00:54:56.417335400Z",
  "votes": 28,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello all,</p>\n<p>I think most of us has expected a churn in this competition given the nature of the train-test data and the nature of the evaluation process too. Kindly find below an image highlighting the same-</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F8273630%2Fb02958657c9493bd1fdfc7c1eed50596%2FLB.png?generation=1707265631142844&amp;alt=media\"></p>\n<h3>Some insights</h3>\n<table>\n<thead>\n<tr>\n<th>Region</th>\n<th>Inference</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>R1</td>\n<td>* This illustrates the complete medal zone (till provisional rank 117) remaining stable in the 2 leaderboards <br> * Congratulations to these participants for being stable in both leaderboards! <br> * special wishes to the team <strong>Clevert</strong> for leading and winning across both the leaderboards!</td>\n</tr>\n<tr>\n<td>R2</td>\n<td>* This visualizes the teams shaken down. These teams were in the medal zone in the public leaderboard while they shook down in the private evaluation</td>\n</tr>\n<tr>\n<td>R3</td>\n<td>* This visualizes the teams moving up. These teams were entered the medal zone in the private leaderboard from the depth of the public evaluation <br> * Congratulations to these teams as well for a good finish!</td>\n</tr>\n<tr>\n<td>R4</td>\n<td>* This region is similar to region R2 <br> * These teams were placed in a good public rank and shook down further in the private LB <br> * These teams were not placed in the medal zone in either LBs</td>\n</tr>\n<tr>\n<td>R5</td>\n<td>* This is a sticky region, perhaps submitted from a public kernel perhaps <br> * In such a competition, it was a bit usual to find such a region, hence marking this separately</td>\n</tr>\n<tr>\n<td>R6</td>\n<td>* These teams resemble region R3, moving upwards from the depth of the public LB to a moderate private LB position, but not winning a medal in the challenge <br> Congratulations to these teams as well for finishing the competition strongly!</td>\n</tr>\n</tbody>\n</table>\n<h3>Medal zone facts</h3>\n<p>We define a ratio <strong>stability = stable teams across both leaderboards/ total teams in the zone</strong> and display as below</p>\n<table>\n<thead>\n<tr>\n<th>Medal zone</th>\n<th>Last Provisional Rank</th>\n<th>Total teams</th>\n<th>Comments</th>\n<th>Stability Ratio</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Gold</td>\n<td>12</td>\n<td>12</td>\n<td>* Teams stable across both leaderboards = 5 <br> * Teams entering into the gold zone from below = 7</td>\n<td>41.7%</td>\n</tr>\n<tr>\n<td>Silver</td>\n<td>59</td>\n<td>47</td>\n<td>* Teams stable across both leaderboards =  13 <br> * Teams entering into the silver zone from gold = 4 <br> * Teams entering into the silver zone from bronze = 1 <br> Teams entering into silver from non-medal zones = 29</td>\n<td>27.7%</td>\n</tr>\n<tr>\n<td>Bronze</td>\n<td>118</td>\n<td>59</td>\n<td>* Teams stable across both leaderboards =  8 <br> * Teams entering into the bronze zone from gold =  2 <br> * Teams entering into the bronze zone from silver = 8 <br> * Teams entering into the bronze zone from non-medal zones =  41</td>\n<td>13.6%</td>\n</tr>\n</tbody>\n</table>\n<p>The extent of shakeups in the  bronze zone is interesting to observe, with over 86% teams churning away/ into the region.</p>\n<p>Wishing you all the best and happy learning!</p>",
  "messages": [
    {
      "id": "2640505",
      "postDate": "02/07/2024 00:54:56",
      "content": "<p>Hello all,</p>\n<p>I think most of us has expected a churn in this competition given the nature of the train-test data and the nature of the evaluation process too. Kindly find below an image highlighting the same-</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F8273630%2Fb02958657c9493bd1fdfc7c1eed50596%2FLB.png?generation=1707265631142844&amp;alt=media\"></p>\n<h3>Some insights</h3>\n<table>\n<thead>\n<tr>\n<th>Region</th>\n<th>Inference</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>R1</td>\n<td>* This illustrates the complete medal zone (till provisional rank 117) remaining stable in the 2 leaderboards <br> * Congratulations to these participants for being stable in both leaderboards! <br> * special wishes to the team <strong>Clevert</strong> for leading and winning across both the leaderboards!</td>\n</tr>\n<tr>\n<td>R2</td>\n<td>* This visualizes the teams shaken down. These teams were in the medal zone in the public leaderboard while they shook down in the private evaluation</td>\n</tr>\n<tr>\n<td>R3</td>\n<td>* This visualizes the teams moving up. These teams were entered the medal zone in the private leaderboard from the depth of the public evaluation <br> * Congratulations to these teams as well for a good finish!</td>\n</tr>\n<tr>\n<td>R4</td>\n<td>* This region is similar to region R2 <br> * These teams were placed in a good public rank and shook down further in the private LB <br> * These teams were not placed in the medal zone in either LBs</td>\n</tr>\n<tr>\n<td>R5</td>\n<td>* This is a sticky region, perhaps submitted from a public kernel perhaps <br> * In such a competition, it was a bit usual to find such a region, hence marking this separately</td>\n</tr>\n<tr>\n<td>R6</td>\n<td>* These teams resemble region R3, moving upwards from the depth of the public LB to a moderate private LB position, but not winning a medal in the challenge <br> Congratulations to these teams as well for finishing the competition strongly!</td>\n</tr>\n</tbody>\n</table>\n<h3>Medal zone facts</h3>\n<p>We define a ratio <strong>stability = stable teams across both leaderboards/ total teams in the zone</strong> and display as below</p>\n<table>\n<thead>\n<tr>\n<th>Medal zone</th>\n<th>Last Provisional Rank</th>\n<th>Total teams</th>\n<th>Comments</th>\n<th>Stability Ratio</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Gold</td>\n<td>12</td>\n<td>12</td>\n<td>* Teams stable across both leaderboards = 5 <br> * Teams entering into the gold zone from below = 7</td>\n<td>41.7%</td>\n</tr>\n<tr>\n<td>Silver</td>\n<td>59</td>\n<td>47</td>\n<td>* Teams stable across both leaderboards =  13 <br> * Teams entering into the silver zone from gold = 4 <br> * Teams entering into the silver zone from bronze = 1 <br> Teams entering into silver from non-medal zones = 29</td>\n<td>27.7%</td>\n</tr>\n<tr>\n<td>Bronze</td>\n<td>118</td>\n<td>59</td>\n<td>* Teams stable across both leaderboards =  8 <br> * Teams entering into the bronze zone from gold =  2 <br> * Teams entering into the bronze zone from silver = 8 <br> * Teams entering into the bronze zone from non-medal zones =  41</td>\n<td>13.6%</td>\n</tr>\n</tbody>\n</table>\n<p>The extent of shakeups in the  bronze zone is interesting to observe, with over 86% teams churning away/ into the region.</p>\n<p>Wishing you all the best and happy learning!</p>",
      "rawMarkdown": "Hello all,\n\nI think most of us has expected a churn in this competition given the nature of the train-test data and the nature of the evaluation process too. Kindly find below an image highlighting the same-\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F8273630%2Fb02958657c9493bd1fdfc7c1eed50596%2FLB.png?generation=1707265631142844&alt=media)\n\n### Some insights\n\n| Region | Inference  |\n| --- | --- |\n|  R1|* This illustrates the complete medal zone (till provisional rank 117) remaining stable in the 2 leaderboards <br> * Congratulations to these participants for being stable in both leaderboards! <br> * special wishes to the team **Clevert** for leading and winning across both the leaderboards!  |\n|  R2|* This visualizes the teams shaken down. These teams were in the medal zone in the public leaderboard while they shook down in the private evaluation |\n|  R3|* This visualizes the teams moving up. These teams were entered the medal zone in the private leaderboard from the depth of the public evaluation <br> * Congratulations to these teams as well for a good finish!|\n|  R4|* This region is similar to region R2 <br> * These teams were placed in a good public rank and shook down further in the private LB <br> * These teams were not placed in the medal zone in either LBs |\n|  R5|* This is a sticky region, perhaps submitted from a public kernel perhaps <br> * In such a competition, it was a bit usual to find such a region, hence marking this separately|\n|  R6|* These teams resemble region R3, moving upwards from the depth of the public LB to a moderate private LB position, but not winning a medal in the challenge <br> Congratulations to these teams as well for finishing the competition strongly!|\n\n### Medal zone facts\n\nWe define a ratio **stability = stable teams across both leaderboards/ total teams in the zone** and display as below\n\n| Medal zone | Last Provisional Rank| Total teams|Comments  | Stability Ratio |\n| --- | --- |---|---| ---|\n| Gold | 12 | 12| * Teams stable across both leaderboards = 5 <br> * Teams entering into the gold zone from below = 7| 41.7%|\n| Silver| 59 |47 |* Teams stable across both leaderboards =  13 <br> * Teams entering into the silver zone from gold = 4 <br> * Teams entering into the silver zone from bronze = 1 <br> Teams entering into silver from non-medal zones = 29 | 27.7%|\n| Bronze| 118 | 59| * Teams stable across both leaderboards =  8 <br> * Teams entering into the bronze zone from gold =  2 <br> * Teams entering into the bronze zone from silver = 8 <br> * Teams entering into the bronze zone from non-medal zones =  41| 13.6%|\n\nThe extent of shakeups in the  bronze zone is interesting to observe, with over 86% teams churning away/ into the region.\n\nWishing you all the best and happy learning!",
      "votes": null
    },
    {
      "id": "2640518",
      "postDate": "02/07/2024 01:04:32",
      "content": "<p>for the first time, we see negative correlation?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fecc6773a0379b6379dc5bee205ff2452%2FSelection_999(4911).png?generation=1707267869237716&amp;alt=media\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F90f33eea62b47ddbc7379af3f401e245%2FSelection_999(4930).png?generation=1707291013989468&amp;alt=media\"></p>",
      "rawMarkdown": "for the first time, we see negative correlation?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fecc6773a0379b6379dc5bee205ff2452%2FSelection_999(4911).png?generation=1707267869237716&alt=media)\n\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F90f33eea62b47ddbc7379af3f401e245%2FSelection_999(4930).png?generation=1707291013989468&alt=media)",
      "votes": null
    },
    {
      "id": "2643922",
      "postDate": "02/09/2024 07:14:21",
      "content": "<p>Thanks for sharing your findings through a nice diagram.</p>",
      "rawMarkdown": "Thanks for sharing your findings through a nice diagram.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2640518,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "02/07/2024 01:04:32",
      "content": "<p>for the first time, we see negative correlation?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fecc6773a0379b6379dc5bee205ff2452%2FSelection_999(4911).png?generation=1707267869237716&amp;alt=media\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F90f33eea62b47ddbc7379af3f401e245%2FSelection_999(4930).png?generation=1707291013989468&amp;alt=media\"></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2643922,
      "author_name": "crsuthikshnkumar",
      "author_url": "",
      "post_date": "02/09/2024 07:14:21",
      "content": "<p>Thanks for sharing your findings through a nice diagram.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2640505": "Hello all,\n\nI think most of us has expected a churn in this competition given the nature of the train-test data and the nature of the evaluation process too. Kindly find below an image highlighting the same-\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F8273630%2Fb02958657c9493bd1fdfc7c1eed50596%2FLB.png?generation=1707265631142844&alt=media)\n\n### Some insights\n\n| Region | Inference  |\n| --- | --- |\n|  R1|* This illustrates the complete medal zone (till provisional rank 117) remaining stable in the 2 leaderboards <br> * Congratulations to these participants for being stable in both leaderboards! <br> * special wishes to the team **Clevert** for leading and winning across both the leaderboards!  |\n|  R2|* This visualizes the teams shaken down. These teams were in the medal zone in the public leaderboard while they shook down in the private evaluation |\n|  R3|* This visualizes the teams moving up. These teams were entered the medal zone in the private leaderboard from the depth of the public evaluation <br> * Congratulations to these teams as well for a good finish!|\n|  R4|* This region is similar to region R2 <br> * These teams were placed in a good public rank and shook down further in the private LB <br> * These teams were not placed in the medal zone in either LBs |\n|  R5|* This is a sticky region, perhaps submitted from a public kernel perhaps <br> * In such a competition, it was a bit usual to find such a region, hence marking this separately|\n|  R6|* These teams resemble region R3, moving upwards from the depth of the public LB to a moderate private LB position, but not winning a medal in the challenge <br> Congratulations to these teams as well for finishing the competition strongly!|\n\n### Medal zone facts\n\nWe define a ratio **stability = stable teams across both leaderboards/ total teams in the zone** and display as below\n\n| Medal zone | Last Provisional Rank| Total teams|Comments  | Stability Ratio |\n| --- | --- |---|---| ---|\n| Gold | 12 | 12| * Teams stable across both leaderboards = 5 <br> * Teams entering into the gold zone from below = 7| 41.7%|\n| Silver| 59 |47 |* Teams stable across both leaderboards =  13 <br> * Teams entering into the silver zone from gold = 4 <br> * Teams entering into the silver zone from bronze = 1 <br> Teams entering into silver from non-medal zones = 29 | 27.7%|\n| Bronze| 118 | 59| * Teams stable across both leaderboards =  8 <br> * Teams entering into the bronze zone from gold =  2 <br> * Teams entering into the bronze zone from silver = 8 <br> * Teams entering into the bronze zone from non-medal zones =  41| 13.6%|\n\nThe extent of shakeups in the  bronze zone is interesting to observe, with over 86% teams churning away/ into the region.\n\nWishing you all the best and happy learning!",
    "2640518": "for the first time, we see negative correlation?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2Fecc6773a0379b6379dc5bee205ff2452%2FSelection_999(4911).png?generation=1707267869237716&alt=media)\n\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F90f33eea62b47ddbc7379af3f401e245%2FSelection_999(4930).png?generation=1707291013989468&alt=media)",
    "2643922": "Thanks for sharing your findings through a nice diagram."
  },
  "source": "meta"
}