{
  "id": 276094,
  "title": "Ensemble methods that are useful",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/276094",
  "author_name": "Sayantan Mazumdar",
  "post_date": "2021-10-03T04:52:12.364000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi kagglers,<br>\n i am currently using a ensemble for 2d cnns like taking the mean over the predictions on all the slices but i would like to ask if there are any other methods , these are which i have tried :-</p>\n<p>temperature shaping (0.616 lb)</p>\n<p>mean(0.612 lb)</p>",
  "messages": [
    {
      "id": 1532508,
      "postDate": "2021-10-03T04:52:12.363Z",
      "content": "<p>Hi kagglers,<br>\n i am currently using a ensemble for 2d cnns like taking the mean over the predictions on all the slices but i would like to ask if there are any other methods , these are which i have tried :-</p>\n<p>temperature shaping (0.616 lb)</p>\n<p>mean(0.612 lb)</p>",
      "rawMarkdown": "Hi kagglers,\n i am currently using a ensemble for 2d cnns like taking the mean over the predictions on all the slices but i would like to ask if there are any other methods , these are which i have tried :-\n\ntemperature shaping (0.616 lb)\n\nmean(0.612 lb)",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1532508": "Hi kagglers,\n i am currently using a ensemble for 2d cnns like taking the mean over the predictions on all the slices but i would like to ask if there are any other methods , these are which i have tried :-\n\ntemperature shaping (0.616 lb)\n\nmean(0.612 lb)"
  }
}