{
  "id": 155986,
  "title": "folding vs not folding",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/155986",
  "author_name": "Roman Weilguny",
  "post_date": "2020-06-04T00:33:33.270000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I want to formulate my argument this way:\nwhen one works against test data, and you use KFolds you get  better metric average values, but you dont  find the 'superb' outlier. The costs of finding the outlier are submission counts (but one is able to use more epochs - which makes sense, if you don't overfit).</p>\n\n<p>I know that a good LB score doesn't mean everything for the final score but I really would read YOUR arguments in this case...</p>",
  "messages": [
    {
      "id": 873241,
      "postDate": "2020-06-04T00:33:33.270Z",
      "content": "<p>I want to formulate my argument this way:\nwhen one works against test data, and you use KFolds you get  better metric average values, but you dont  find the 'superb' outlier. The costs of finding the outlier are submission counts (but one is able to use more epochs - which makes sense, if you don't overfit).</p>\n\n<p>I know that a good LB score doesn't mean everything for the final score but I really would read YOUR arguments in this case...</p>",
      "rawMarkdown": "I want to formulate my argument this way:\nwhen one works against test data, and you use KFolds you get  better metric average values, but you dont  find the 'superb' outlier. The costs of finding the outlier are submission counts (but one is able to use more epochs - which makes sense, if you don't overfit).\n\nI know that a good LB score doesn't mean everything for the final score but I really would read YOUR arguments in this case...",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "873241": "I want to formulate my argument this way:\nwhen one works against test data, and you use KFolds you get  better metric average values, but you dont  find the 'superb' outlier. The costs of finding the outlier are submission counts (but one is able to use more epochs - which makes sense, if you don't overfit).\n\nI know that a good LB score doesn't mean everything for the final score but I really would read YOUR arguments in this case..."
  }
}