{
  "id": 313458,
  "title": "Do you have some tips about ensemble?",
  "url": "/competitions/happy-whale-and-dolphin/discussion/313458",
  "author_name": "",
  "post_date": "2022-03-17T07:18:59.407358200Z",
  "votes": 2,
  "comment_count": 6,
  "views": 0,
  "content": "<p>Do you have some tips about ensemble?<br>\nVoting ensembles?</p>",
  "messages": [
    {
      "id": "1725531",
      "postDate": "03/17/2022 07:18:59",
      "content": "<p>Do you have some tips about ensemble?<br>\nVoting ensembles?</p>",
      "rawMarkdown": "Do you have some tips about ensemble?\nVoting ensembles?",
      "votes": null
    },
    {
      "id": "1725541",
      "postDate": "03/17/2022 07:26:12",
      "content": "<p><a href=\"https://www.kaggle.com/yangranran\" target=\"_blank\">@yangranran</a>  I came across few notebooks that have methodologies for ensemble methods. Though Voting or averaging is the easiest way to go.</p>\n<p>Check these notebooks<br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging</a><br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest</a><br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance</a></p>",
      "rawMarkdown": "yangranran  I came across few notebooks that have methodologies for ensemble methods. Though Voting or averaging is the easiest way to go.\n\nCheck these notebooks\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance",
      "votes": null
    },
    {
      "id": "1725557",
      "postDate": "03/17/2022 07:46:03",
      "content": "<p>This public notebook may be one of the answers.</p>\n<p><a href=\"https://www.kaggle.com/code/yamsam/simple-ensemble-of-public-best-kernels\" target=\"_blank\">simple ensemble of public best kernels</a></p>",
      "rawMarkdown": "This public notebook may be one of the answers.\n\n[simple ensemble of public best kernels](https://www.kaggle.com/code/yamsam/simple-ensemble-of-public-best-kernels)",
      "votes": null
    },
    {
      "id": "1727701",
      "postDate": "03/18/2022 07:27:32",
      "content": "<p>Thanks for your reply！</p>",
      "rawMarkdown": "Thanks for your reply！",
      "votes": null
    },
    {
      "id": "1727702",
      "postDate": "03/18/2022 07:29:58",
      "content": "<p>Thank you! I have learned a lot from the codes.</p>",
      "rawMarkdown": "Thank you! I have learned a lot from the codes.",
      "votes": null
    },
    {
      "id": "1727707",
      "postDate": "03/18/2022 07:34:24",
      "content": "<p><a href=\"https://www.kaggle.com/yangranran\" target=\"_blank\">@yangranran</a> I wish you luck with this contest. Are you using CNN with YOLO? What are the models you are trying to ensemble?</p>",
      "rawMarkdown": "yangranran I wish you luck with this contest. Are you using CNN with YOLO? What are the models you are trying to ensemble?",
      "votes": null
    },
    {
      "id": "1727726",
      "postDate": "03/18/2022 07:56:49",
      "content": "<p>I just use efficientnet and train 10 fold.I want to ensemble the 10 fold well.Wish you a good score in this    competition.😉</p>",
      "rawMarkdown": "I just use efficientnet and train 10 fold.I want to ensemble the 10 fold well.Wish you a good score in this    competition.😉",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1725541,
      "author_name": "shivkumarganesh",
      "author_url": "",
      "post_date": "03/17/2022 07:26:12",
      "content": "<p><a href=\"https://www.kaggle.com/yangranran\" target=\"_blank\">@yangranran</a>  I came across few notebooks that have methodologies for ensemble methods. Though Voting or averaging is the easiest way to go.</p>\n<p>Check these notebooks<br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging</a><br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest</a><br>\n<a href=\"https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance\" target=\"_blank\">https://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1727702,
          "author_name": "yangranran",
          "author_url": "",
          "post_date": "03/18/2022 07:29:58",
          "content": "<p>Thank you! I have learned a lot from the codes.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1727707,
          "author_name": "shivkumarganesh",
          "author_url": "",
          "post_date": "03/18/2022 07:34:24",
          "content": "<p><a href=\"https://www.kaggle.com/yangranran\" target=\"_blank\">@yangranran</a> I wish you luck with this contest. Are you using CNN with YOLO? What are the models you are trying to ensemble?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1727726,
          "author_name": "yangranran",
          "author_url": "",
          "post_date": "03/18/2022 07:56:49",
          "content": "<p>I just use efficientnet and train 10 fold.I want to ensemble the 10 fold well.Wish you a good score in this    competition.😉</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1725557,
      "author_name": "yhirakawa",
      "author_url": "",
      "post_date": "03/17/2022 07:46:03",
      "content": "<p>This public notebook may be one of the answers.</p>\n<p><a href=\"https://www.kaggle.com/code/yamsam/simple-ensemble-of-public-best-kernels\" target=\"_blank\">simple ensemble of public best kernels</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1727701,
          "author_name": "yangranran",
          "author_url": "",
          "post_date": "03/18/2022 07:27:32",
          "content": "<p>Thanks for your reply！</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1725531": "Do you have some tips about ensemble?\nVoting ensembles?",
    "1725541": "yangranran  I came across few notebooks that have methodologies for ensemble methods. Though Voting or averaging is the easiest way to go.\n\nCheck these notebooks\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-1-bagging\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-2-random-forest\nhttps://www.kaggle.com/code/kashnitsky/topic-5-ensembles-part-3-feature-importance",
    "1725557": "This public notebook may be one of the answers.\n\n[simple ensemble of public best kernels](https://www.kaggle.com/code/yamsam/simple-ensemble-of-public-best-kernels)",
    "1727701": "Thanks for your reply！",
    "1727702": "Thank you! I have learned a lot from the codes.",
    "1727707": "yangranran I wish you luck with this contest. Are you using CNN with YOLO? What are the models you are trying to ensemble?",
    "1727726": "I just use efficientnet and train 10 fold.I want to ensemble the 10 fold well.Wish you a good score in this    competition.😉"
  },
  "source": "meta"
}