{
  "id": 169105,
  "title": "Missed submission for .933",
  "url": "/competitions/prostate-cancer-grade-assessment/discussion/169105",
  "author_name": "kvigly",
  "post_date": "2020-07-23T00:10:31.778000",
  "votes": 5,
  "comment_count": 9,
  "views": 0,
  "content": "<p>Just a bunch of different models\nresnet34 36 tiles, resnet34 49 tiles, resnet50 36 tiles, b3 36 tiles, b5 25 tiles, b0 36 tiles and different tiles sizes (256 and 128) + D4 TTA gave .933. Indeed, diverse models are the key :) \nUnfortunately, we picked the best CV-holdout submit. Worked pretty well, but still :( </p>",
  "messages": [
    {
      "id": 940442,
      "postDate": "2020-07-23T00:29:27.440Z",
      "content": "<p><strong>missed 0.941 single model 4 fold</strong>( but it is rather noise than miss, and one got more luck with selection of the final sub than others. Though, all subs using this particular approach got 0.935-0.941 while were performing about the same on public LB as my main approach I have chosen.</p>",
      "rawMarkdown": "**missed 0.941 single model 4 fold**( but it is rather noise than miss, and one got more luck with selection of the final sub than others. Though, all subs using this particular approach got 0.935-0.941 while were performing about the same on public LB as my main approach I have chosen.",
      "votes": 6,
      "replies": [
        {
          "id": 940449,
          "postDate": "2020-07-23T00:34:00.333Z",
          "content": "<p>Great thanks lafoss!\nYour approach gave us a lot of improvements.\nI am waiting your final solution!</p>",
          "rawMarkdown": "Great thanks lafoss!\nYour approach gave us a lot of improvements.\nI am waiting your final solution!",
          "votes": 3
        },
        {
          "id": 940456,
          "postDate": "2020-07-23T00:41:56.190Z",
          "content": "<p>You are welcome, I'm working on it right now</p>",
          "rawMarkdown": "You are welcome, I'm working on it right now",
          "votes": 2
        },
        {
          "id": 940461,
          "postDate": "2020-07-23T00:49:28.640Z",
          "content": "<p>Well <a href=\"/iafoss\">@iafoss</a> I can't wait to see your pipeline as well. You've had a consistent lead on this competition, put out there a lot of great content, while helping a lot of people who were asking you questions sometimes even unrelated to your work. The consistency of your results seems to imply that not everything was random in this competition. I think at this point, consistency of scores has more value that a third decimal. I'm sorry you didn't get the money ^^</p>",
          "rawMarkdown": "Well @iafoss I can't wait to see your pipeline as well. You've had a consistent lead on this competition, put out there a lot of great content, while helping a lot of people who were asking you questions sometimes even unrelated to your work. The consistency of your results seems to imply that not everything was random in this competition. I think at this point, consistency of scores has more value that a third decimal. I'm sorry you didn't get the money ^^",
          "votes": 2
        },
        {
          "id": 940588,
          "postDate": "2020-07-23T03:27:43.683Z",
          "content": "<p>Thank you for your pipeline :) I think it helped lots of people to get started!</p>",
          "rawMarkdown": "Thank you for your pipeline :) I think it helped lots of people to get started!",
          "votes": 1
        },
        {
          "id": 942397,
          "postDate": "2020-07-23T18:11:18.407Z",
          "content": "<p>You are welcome.</p>",
          "rawMarkdown": "You are welcome."
        }
      ]
    },
    {
      "id": 940425,
      "postDate": "2020-07-23T00:10:31.777Z",
      "content": "<p>Just a bunch of different models\nresnet34 36 tiles, resnet34 49 tiles, resnet50 36 tiles, b3 36 tiles, b5 25 tiles, b0 36 tiles and different tiles sizes (256 and 128) + D4 TTA gave .933. Indeed, diverse models are the key :) \nUnfortunately, we picked the best CV-holdout submit. Worked pretty well, but still :( </p>",
      "rawMarkdown": "Just a bunch of different models\nresnet34 36 tiles, resnet34 49 tiles, resnet50 36 tiles, b3 36 tiles, b5 25 tiles, b0 36 tiles and different tiles sizes (256 and 128) + D4 TTA gave .933. Indeed, diverse models are the key :) \nUnfortunately, we picked the best CV-holdout submit. Worked pretty well, but still :( ",
      "votes": 5
    },
    {
      "id": 940447,
      "postDate": "2020-07-23T00:31:41.940Z",
      "content": "<p>Congrats, your hard work (I can’t experiments such many models)  and thanks sharing fir your approach! \nYes.. I also missed .924 scoring model..\nBut I learned a lot of things from this competition.</p>",
      "rawMarkdown": "Congrats, your hard work (I can’t experiments such many models)  and thanks sharing fir your approach! \nYes.. I also missed .924 scoring model..\nBut I learned a lot of things from this competition.",
      "votes": 1
    },
    {
      "id": 940428,
      "postDate": "2020-07-23T00:17:22.123Z",
      "content": "<p>We also missed .927 scoring model. Anyways congratulations and thanks for sharing your approach.</p>",
      "rawMarkdown": "We also missed .927 scoring model. Anyways congratulations and thanks for sharing your approach.",
      "votes": 1
    },
    {
      "id": 940545,
      "postDate": "2020-07-23T02:36:34.617Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 940442,
      "author_name": "Iafoss",
      "author_url": "",
      "post_date": "2020-07-23T00:29:27.440000",
      "content": "<p><strong>missed 0.941 single model 4 fold</strong>( but it is rather noise than miss, and one got more luck with selection of the final sub than others. Though, all subs using this particular approach got 0.935-0.941 while were performing about the same on public LB as my main approach I have chosen.</p>",
      "votes": 6,
      "replies": [
        {
          "id": 940449,
          "author_name": "Nishi yasu",
          "author_url": "",
          "post_date": "2020-07-23T00:34:00.333000",
          "content": "<p>Great thanks lafoss!\nYour approach gave us a lot of improvements.\nI am waiting your final solution!</p>",
          "votes": 3,
          "replies": []
        },
        {
          "id": 940456,
          "author_name": "Iafoss",
          "author_url": "",
          "post_date": "2020-07-23T00:41:56.190000",
          "content": "<p>You are welcome, I'm working on it right now</p>",
          "votes": 2,
          "replies": []
        },
        {
          "id": 940461,
          "author_name": "Benjamin Dubreu",
          "author_url": "",
          "post_date": "2020-07-23T00:49:28.640000",
          "content": "<p>Well <a href=\"/iafoss\">@iafoss</a> I can't wait to see your pipeline as well. You've had a consistent lead on this competition, put out there a lot of great content, while helping a lot of people who were asking you questions sometimes even unrelated to your work. The consistency of your results seems to imply that not everything was random in this competition. I think at this point, consistency of scores has more value that a third decimal. I'm sorry you didn't get the money ^^</p>",
          "votes": 2,
          "replies": []
        },
        {
          "id": 940588,
          "author_name": "kvigly",
          "author_url": "",
          "post_date": "2020-07-23T03:27:43.683000",
          "content": "<p>Thank you for your pipeline :) I think it helped lots of people to get started!</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 942397,
          "author_name": "Iafoss",
          "author_url": "",
          "post_date": "2020-07-23T18:11:18.407000",
          "content": "<p>You are welcome.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 940447,
      "author_name": "Nishi yasu",
      "author_url": "",
      "post_date": "2020-07-23T00:31:41.940000",
      "content": "<p>Congrats, your hard work (I can’t experiments such many models)  and thanks sharing fir your approach! \nYes.. I also missed .924 scoring model..\nBut I learned a lot of things from this competition.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 940428,
      "author_name": "Karan",
      "author_url": "",
      "post_date": "2020-07-23T00:17:22.123000",
      "content": "<p>We also missed .927 scoring model. Anyways congratulations and thanks for sharing your approach.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 940545,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-07-23T02:36:34.617000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "940442": "**missed 0.941 single model 4 fold**( but it is rather noise than miss, and one got more luck with selection of the final sub than others. Though, all subs using this particular approach got 0.935-0.941 while were performing about the same on public LB as my main approach I have chosen.",
    "940425": "Just a bunch of different models\nresnet34 36 tiles, resnet34 49 tiles, resnet50 36 tiles, b3 36 tiles, b5 25 tiles, b0 36 tiles and different tiles sizes (256 and 128) + D4 TTA gave .933. Indeed, diverse models are the key :) \nUnfortunately, we picked the best CV-holdout submit. Worked pretty well, but still :( ",
    "940447": "Congrats, your hard work (I can’t experiments such many models)  and thanks sharing fir your approach! \nYes.. I also missed .924 scoring model..\nBut I learned a lot of things from this competition.",
    "940428": "We also missed .927 scoring model. Anyways congratulations and thanks for sharing your approach.",
    "940545": ""
  }
}