{
  "id": 388290,
  "title": "[Feature] Not everyone had the grit to end the game.. ",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/388290",
  "author_name": "",
  "post_date": "2023-02-16T20:09:21.903824800Z",
  "votes": 6,
  "comment_count": 3,
  "views": 0,
  "content": "<p><code>df[(df.event_name == 'checkpoint')]['level'].value_counts()</code></p>\n<blockquote>\n  <p>4     11851<br>\n  12    11838<br>\n  22    11814</p>\n</blockquote>\n<p>Here wa can see that 13 people quit before the third part and 37 students didn't end the game, a feature you might consider add to your dataset.. perseverence is key in any field and <strong>quitting a simple game might say a lot about your school results</strong></p>",
  "messages": [
    {
      "id": "2147707",
      "postDate": "02/16/2023 20:09:21",
      "content": "<p><code>df[(df.event_name == 'checkpoint')]['level'].value_counts()</code></p>\n<blockquote>\n  <p>4     11851<br>\n  12    11838<br>\n  22    11814</p>\n</blockquote>\n<p>Here wa can see that 13 people quit before the third part and 37 students didn't end the game, a feature you might consider add to your dataset.. perseverence is key in any field and <strong>quitting a simple game might say a lot about your school results</strong></p>",
      "rawMarkdown": "`df[(df.event_name == 'checkpoint')]['level'].value_counts()`\n>4     11851\n12    11838\n22    11814\n\nHere wa can see that 13 people quit before the third part and 37 students didn't end the game, a feature you might consider add to your dataset.. perseverence is key in any field and **quitting a simple game might say a lot about your school results**",
      "votes": null
    },
    {
      "id": "2147985",
      "postDate": "02/17/2023 04:28:43",
      "content": "<p>Thanks for this info!</p>\n<p>Did you look into the train labels for these users? For example, if they quit before the 3rd checkpoint, do they all have all 0s for the last set of questions?</p>",
      "rawMarkdown": "Thanks for this info!\n\nDid you look into the train labels for these users? For example, if they quit before the 3rd checkpoint, do they all have all 0s for the last set of questions?",
      "votes": null
    },
    {
      "id": "2148240",
      "postDate": "02/17/2023 09:11:43",
      "content": "<p>no, in fact the accuracy of those who didn't finish the game was higher than the average accuracy of all sessions… (completing all questions) </p>\n<p>my guess is people doing the game twice maybe </p>",
      "rawMarkdown": "no, in fact the accuracy of those who didn't finish the game was higher than the average accuracy of all sessions... (completing all questions) \n\nmy guess is people doing the game twice maybe",
      "votes": null
    },
    {
      "id": "2148466",
      "postDate": "02/17/2023 13:12:12",
      "content": "<p>we cannot use this information, since when we are predicting the answers to the current questions we do not yet know that at some point in the future this student will drop out.</p>",
      "rawMarkdown": "we cannot use this information, since when we are predicting the answers to the current questions we do not yet know that at some point in the future this student will drop out.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2147985,
      "author_name": "hoangnguyen719",
      "author_url": "",
      "post_date": "02/17/2023 04:28:43",
      "content": "<p>Thanks for this info!</p>\n<p>Did you look into the train labels for these users? For example, if they quit before the 3rd checkpoint, do they all have all 0s for the last set of questions?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2148240,
          "author_name": "janmpia",
          "author_url": "",
          "post_date": "02/17/2023 09:11:43",
          "content": "<p>no, in fact the accuracy of those who didn't finish the game was higher than the average accuracy of all sessions… (completing all questions) </p>\n<p>my guess is people doing the game twice maybe </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2148466,
      "author_name": "ymatioun",
      "author_url": "",
      "post_date": "02/17/2023 13:12:12",
      "content": "<p>we cannot use this information, since when we are predicting the answers to the current questions we do not yet know that at some point in the future this student will drop out.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2147707": "`df[(df.event_name == 'checkpoint')]['level'].value_counts()`\n>4     11851\n12    11838\n22    11814\n\nHere wa can see that 13 people quit before the third part and 37 students didn't end the game, a feature you might consider add to your dataset.. perseverence is key in any field and **quitting a simple game might say a lot about your school results**",
    "2147985": "Thanks for this info!\n\nDid you look into the train labels for these users? For example, if they quit before the 3rd checkpoint, do they all have all 0s for the last set of questions?",
    "2148240": "no, in fact the accuracy of those who didn't finish the game was higher than the average accuracy of all sessions... (completing all questions) \n\nmy guess is people doing the game twice maybe",
    "2148466": "we cannot use this information, since when we are predicting the answers to the current questions we do not yet know that at some point in the future this student will drop out."
  },
  "source": "meta"
}