{
  "id": 315427,
  "title": "Evaluation Metric",
  "url": "/competitions/denoising-shabby/discussion/315427",
  "author_name": "",
  "post_date": "2022-03-28T07:50:27.090542200Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>What is the evaluation metric metric used in this competition?</p>",
  "messages": [
    {
      "id": "1737196",
      "postDate": "03/28/2022 07:50:27",
      "content": "<p>What is the evaluation metric metric used in this competition?</p>",
      "rawMarkdown": "What is the evaluation metric metric used in this competition?",
      "votes": null
    },
    {
      "id": "1737435",
      "postDate": "03/28/2022 12:31:39",
      "content": "<p>From the <a href=\"https://www.kaggle.com/competitions/denoising-shabby/overview/evaluation\" target=\"_blank\">evaluation</a> page:</p>\n<blockquote>\n  <p>Submissions are evaluated on the root mean squared error between the pixel intensities of the cleaned images and the pixel intensities of the original images, where both sets of images have been grayscaled.</p>\n</blockquote>",
      "rawMarkdown": "From the [evaluation](https://www.kaggle.com/competitions/denoising-shabby/overview/evaluation) page:\n\n> Submissions are evaluated on the root mean squared error between the pixel intensities of the cleaned images and the pixel intensities of the original images, where both sets of images have been grayscaled.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1737435,
      "author_name": "vkonstantakos",
      "author_url": "",
      "post_date": "03/28/2022 12:31:39",
      "content": "<p>From the <a href=\"https://www.kaggle.com/competitions/denoising-shabby/overview/evaluation\" target=\"_blank\">evaluation</a> page:</p>\n<blockquote>\n  <p>Submissions are evaluated on the root mean squared error between the pixel intensities of the cleaned images and the pixel intensities of the original images, where both sets of images have been grayscaled.</p>\n</blockquote>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1737196": "What is the evaluation metric metric used in this competition?",
    "1737435": "From the [evaluation](https://www.kaggle.com/competitions/denoising-shabby/overview/evaluation) page:\n\n> Submissions are evaluated on the root mean squared error between the pixel intensities of the cleaned images and the pixel intensities of the original images, where both sets of images have been grayscaled."
  },
  "source": "meta"
}