{
  "id": 244947,
  "title": "LB:0.97 efficientnet-b1+Focal loss+Kfold+mix up",
  "url": "/competitions/seti-breakthrough-listen/discussion/244947",
  "author_name": "xuxu_sky",
  "post_date": "2021-06-09T04:05:12.146000",
  "votes": 9,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I tried to use Focal loss to train the model and the result was 0.97<br>\n<a href=\"https://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97\" target=\"_blank\">https://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97</a></p>",
  "messages": [
    {
      "id": 1341868,
      "postDate": "2021-06-09T04:05:12.147Z",
      "content": "<p>I tried to use Focal loss to train the model and the result was 0.97<br>\n<a href=\"https://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97\" target=\"_blank\">https://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97</a></p>",
      "rawMarkdown": "I tried to use Focal loss to train the model and the result was 0.97\nhttps://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97",
      "votes": 9
    },
    {
      "id": 1342152,
      "postDate": "2021-06-09T08:02:31.560Z",
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      "votes": 4,
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  "comments": [
    {
      "id": 1342152,
      "author_name": "",
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      "post_date": "2021-06-09T08:02:31.560000",
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      "votes": 4,
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  "raw_markdown_by_id": {
    "1341868": "I tried to use Focal loss to train the model and the result was 0.97\nhttps://www.kaggle.com/xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97",
    "1342152": ""
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}