{
  "id": 168165,
  "title": "Thank YOU!",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/168165",
  "author_name": "Kamal Das",
  "post_date": "2020-07-19T13:47:21.688000",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi All,</p>\n\n<p>Thank you all for being so helpful and encouraging!\nThis is only my second competition and just looking at the threads and information and sharing of kernels helped me at least momentarily to sneak into the top 10%</p>\n\n<p>Great to keep learning and sharing!</p>",
  "messages": [
    {
      "id": 935559,
      "postDate": "2020-07-19T13:47:21.690Z",
      "content": "<p>Hi All,</p>\n\n<p>Thank you all for being so helpful and encouraging!\nThis is only my second competition and just looking at the threads and information and sharing of kernels helped me at least momentarily to sneak into the top 10%</p>\n\n<p>Great to keep learning and sharing!</p>",
      "rawMarkdown": "Hi All,\n\nThank you all for being so helpful and encouraging!\nThis is only my second competition and just looking at the threads and information and sharing of kernels helped me at least momentarily to sneak into the top 10%\n\nGreat to keep learning and sharing!"
    },
    {
      "id": 935676,
      "postDate": "2020-07-19T15:00:53.363Z",
      "content": "<p>I liked the ensemble approach ... it was interesting ...Using just this one could reach the top 10%\n<a href=\"https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10\">https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10</a>\nand adding your own and making some more tweaks helps you reach the top 6% for me.. \ndidn't realise the power of ensemble on differently trained models till i worked on this!</p>",
      "rawMarkdown": "I liked the ensemble approach ... it was interesting ...Using just this one could reach the top 10%\n[https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10](https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10)\nand adding your own and making some more tweaks helps you reach the top 6% for me.. \ndidn't realise the power of ensemble on differently trained models till i worked on this!",
      "votes": -1,
      "replies": [
        {
          "id": 935773,
          "postDate": "2020-07-19T16:10:02.367Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 935676,
      "author_name": "Kamal Das",
      "author_url": "",
      "post_date": "2020-07-19T15:00:53.363000",
      "content": "<p>I liked the ensemble approach ... it was interesting ...Using just this one could reach the top 10%\n<a href=\"https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10\">https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10</a>\nand adding your own and making some more tweaks helps you reach the top 6% for me.. \ndidn't realise the power of ensemble on differently trained models till i worked on this!</p>",
      "votes": -1,
      "replies": [
        {
          "id": 935773,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-07-19T16:10:02.367000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "935559": "Hi All,\n\nThank you all for being so helpful and encouraging!\nThis is only my second competition and just looking at the threads and information and sharing of kernels helped me at least momentarily to sneak into the top 10%\n\nGreat to keep learning and sharing!",
    "935676": "I liked the ensemble approach ... it was interesting ...Using just this one could reach the top 10%\n[https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10](https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10)\nand adding your own and making some more tweaks helps you reach the top 6% for me.. \ndidn't realise the power of ensemble on differently trained models till i worked on this!"
  }
}