{
  "id": 106639,
  "title": "Test data",
  "url": "/competitions/champs-scalar-coupling/discussion/106639",
  "author_name": "",
  "post_date": "2019-08-30T12:05:57.839244200Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Now, as the competition is over, will it be possible to get scalar coupling constants even for the test set? I would like to know what was the worst scalar coupling I predicted, which one was best etc. </p>",
  "messages": [
    {
      "id": "613301",
      "postDate": "08/30/2019 12:05:57",
      "content": "<p>Now, as the competition is over, will it be possible to get scalar coupling constants even for the test set? I would like to know what was the worst scalar coupling I predicted, which one was best etc. </p>",
      "rawMarkdown": "Now, as the competition is over, will it be possible to get scalar coupling constants even for the test set? I would like to know what was the worst scalar coupling I predicted, which one was best etc.",
      "votes": null
    },
    {
      "id": "613312",
      "postDate": "08/30/2019 12:13:15",
      "content": "<p>Look at you out of fold predictions and you'll get a very good idea of where your model is good and where it is not.</p>",
      "rawMarkdown": "Look at you out of fold predictions and you'll get a very good idea of where your model is good and where it is not.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 613312,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "08/30/2019 12:13:15",
      "content": "<p>Look at you out of fold predictions and you'll get a very good idea of where your model is good and where it is not.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "613301": "Now, as the competition is over, will it be possible to get scalar coupling constants even for the test set? I would like to know what was the worst scalar coupling I predicted, which one was best etc.",
    "613312": "Look at you out of fold predictions and you'll get a very good idea of where your model is good and where it is not."
  },
  "source": "meta"
}