{
  "id": 442549,
  "title": "I wonder about what should I do...",
  "url": "/competitions/child-mind-institute-detect-sleep-states/discussion/442549",
  "author_name": "",
  "post_date": "2023-09-23T06:50:20.875041900Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>In submission example file, there is only one prediction for awake and onset for each series_id. So, in submission, I have to predict one prediction for each series_id? If not, I can make many prediction for one series_id?</p>\n<ol>\n<li><p>series_id, event, step, score<br>\n12,onset,134,0.8<br>\n12,sleep,1288,1.0<br>\n13,onset,42,0.9</p></li>\n<li><p>series_id, event, step, score<br>\n12,onset,134,0.8<br>\n12,onset,198,1.0<br>\n12,sleep,210,0.9</p></li>\n</ol>\n<p>example 1 or 2, which is correct?</p>",
  "messages": [
    {
      "id": "2452209",
      "postDate": "09/23/2023 06:50:20",
      "content": "<p>In submission example file, there is only one prediction for awake and onset for each series_id. So, in submission, I have to predict one prediction for each series_id? If not, I can make many prediction for one series_id?</p>\n<ol>\n<li><p>series_id, event, step, score<br>\n12,onset,134,0.8<br>\n12,sleep,1288,1.0<br>\n13,onset,42,0.9</p></li>\n<li><p>series_id, event, step, score<br>\n12,onset,134,0.8<br>\n12,onset,198,1.0<br>\n12,sleep,210,0.9</p></li>\n</ol>\n<p>example 1 or 2, which is correct?</p>",
      "rawMarkdown": "In submission example file, there is only one prediction for awake and onset for each series_id. So, in submission, I have to predict one prediction for each series_id? If not, I can make many prediction for one series_id?\n\n1. series_id, event, step, score\n   12,onset,134,0.8\n   12,sleep,1288,1.0\n   13,onset,42,0.9\n\n2. series_id, event, step, score\n   12,onset,134,0.8\n   12,onset,198,1.0\n   12,sleep,210,0.9\n\nexample 1 or 2, which is correct?",
      "votes": null
    },
    {
      "id": "2452213",
      "postDate": "09/23/2023 06:58:27",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/wonwooj\" target=\"_blank\">@wonwooj</a>, 2 is correct, metric checks if your predictions are as close to actual event step value. Here is an example</p>\n<p>idx series_id        step    event   score       <br>\n0    55a47ff9dc8a    5524    onset   0.289975    <br>\n1    55a47ff9dc8a    6916    wakeup  0.369781    <br>\n2    55a47ff9dc8a    7066    onset   0.351227<br>\n3    55a47ff9dc8a    13726   wakeup  0.36383<br>\n4    55a47ff9dc8a    25091   onset   0.34364<br>\n5    55a47ff9dc8a    30586   wakeup  0.42828</p>",
      "rawMarkdown": "Hi @wonwooj, 2 is correct, metric checks if your predictions are as close to actual event step value. Here is an example\n\nidx series_id\t    step\tevent\tscore\t    \n0\t55a47ff9dc8a\t5524\tonset\t0.289975\t\n1\t55a47ff9dc8a\t6916\twakeup\t0.369781\t\n2\t55a47ff9dc8a\t7066\tonset\t0.351227\n3\t55a47ff9dc8a\t13726\twakeup\t0.36383\n4\t55a47ff9dc8a\t25091\tonset\t0.34364\n5\t55a47ff9dc8a\t30586\twakeup\t0.42828",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2452213,
      "author_name": "anilreddyvv",
      "author_url": "",
      "post_date": "09/23/2023 06:58:27",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/wonwooj\" target=\"_blank\">@wonwooj</a>, 2 is correct, metric checks if your predictions are as close to actual event step value. Here is an example</p>\n<p>idx series_id        step    event   score       <br>\n0    55a47ff9dc8a    5524    onset   0.289975    <br>\n1    55a47ff9dc8a    6916    wakeup  0.369781    <br>\n2    55a47ff9dc8a    7066    onset   0.351227<br>\n3    55a47ff9dc8a    13726   wakeup  0.36383<br>\n4    55a47ff9dc8a    25091   onset   0.34364<br>\n5    55a47ff9dc8a    30586   wakeup  0.42828</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2452209": "In submission example file, there is only one prediction for awake and onset for each series_id. So, in submission, I have to predict one prediction for each series_id? If not, I can make many prediction for one series_id?\n\n1. series_id, event, step, score\n   12,onset,134,0.8\n   12,sleep,1288,1.0\n   13,onset,42,0.9\n\n2. series_id, event, step, score\n   12,onset,134,0.8\n   12,onset,198,1.0\n   12,sleep,210,0.9\n\nexample 1 or 2, which is correct?",
    "2452213": "Hi @wonwooj, 2 is correct, metric checks if your predictions are as close to actual event step value. Here is an example\n\nidx series_id\t    step\tevent\tscore\t    \n0\t55a47ff9dc8a\t5524\tonset\t0.289975\t\n1\t55a47ff9dc8a\t6916\twakeup\t0.369781\t\n2\t55a47ff9dc8a\t7066\tonset\t0.351227\n3\t55a47ff9dc8a\t13726\twakeup\t0.36383\n4\t55a47ff9dc8a\t25091\tonset\t0.34364\n5\t55a47ff9dc8a\t30586\twakeup\t0.42828"
  },
  "source": "meta"
}