{
  "id": 392481,
  "title": "Confused about Competition Submission File",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/392481",
  "author_name": "",
  "post_date": "2023-03-05T14:30:41.674684Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi everyone,</p>\n<p>I have a question about the competition submission file and I hope someone can help me out. In the sample submission file, there is at the end of the session_id column there are '_q?' with numbers from 1 to 18. I'm confused about where this part of the column come from. Are we supposed to predict this value in the column?</p>\n<p>I apologize if this is a dumb question, but I'm new to Kaggle and still trying to figure things out. Any help would be greatly appreciated! Thank you.</p>",
  "messages": [
    {
      "id": "2169895",
      "postDate": "03/05/2023 14:30:41",
      "content": "<p>Hi everyone,</p>\n<p>I have a question about the competition submission file and I hope someone can help me out. In the sample submission file, there is at the end of the session_id column there are '_q?' with numbers from 1 to 18. I'm confused about where this part of the column come from. Are we supposed to predict this value in the column?</p>\n<p>I apologize if this is a dumb question, but I'm new to Kaggle and still trying to figure things out. Any help would be greatly appreciated! Thank you.</p>",
      "rawMarkdown": "Hi everyone,\n\nI have a question about the competition submission file and I hope someone can help me out. In the sample submission file, there is at the end of the session_id column there are '_q?' with numbers from 1 to 18. I'm confused about where this part of the column come from. Are we supposed to predict this value in the column?\n\nI apologize if this is a dumb question, but I'm new to Kaggle and still trying to figure things out. Any help would be greatly appreciated! Thank you.",
      "votes": null
    },
    {
      "id": "2170113",
      "postDate": "03/05/2023 17:39:35",
      "content": "<p>From my understanding, '_q?' refers to the question number. Once you start a session, you will go through 5 chapters to complete the game. Each chapter consists of a specific number of levels. In total, the player goes through 18 questions. You are trying to predict whether the player will answer a specific question correctly (1) or incorrectly (0). I think this <a href=\"https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/384796\" target=\"_blank\">post</a> will help you understand the details. In addition, I think this <a href=\"https://www.kaggle.com/code/cdeotte/xgboost-baseline-0-676\" target=\"_blank\">notebook</a> will be a great start for developing your own pipeline.</p>",
      "rawMarkdown": "From my understanding, '_q?' refers to the question number. Once you start a session, you will go through 5 chapters to complete the game. Each chapter consists of a specific number of levels. In total, the player goes through 18 questions. You are trying to predict whether the player will answer a specific question correctly (1) or incorrectly (0). I think this [post](https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/384796) will help you understand the details. In addition, I think this [notebook](https://www.kaggle.com/code/cdeotte/xgboost-baseline-0-676) will be a great start for developing your own pipeline.",
      "votes": null
    },
    {
      "id": "2171514",
      "postDate": "03/06/2023 21:15:01",
      "content": "<p>I am really grateful!</p>",
      "rawMarkdown": "I am really grateful!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2170113,
      "author_name": "awqatak",
      "author_url": "",
      "post_date": "03/05/2023 17:39:35",
      "content": "<p>From my understanding, '_q?' refers to the question number. Once you start a session, you will go through 5 chapters to complete the game. Each chapter consists of a specific number of levels. In total, the player goes through 18 questions. You are trying to predict whether the player will answer a specific question correctly (1) or incorrectly (0). I think this <a href=\"https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/384796\" target=\"_blank\">post</a> will help you understand the details. In addition, I think this <a href=\"https://www.kaggle.com/code/cdeotte/xgboost-baseline-0-676\" target=\"_blank\">notebook</a> will be a great start for developing your own pipeline.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2171514,
          "author_name": "aissaouihamda",
          "author_url": "",
          "post_date": "03/06/2023 21:15:01",
          "content": "<p>I am really grateful!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2169895": "Hi everyone,\n\nI have a question about the competition submission file and I hope someone can help me out. In the sample submission file, there is at the end of the session_id column there are '_q?' with numbers from 1 to 18. I'm confused about where this part of the column come from. Are we supposed to predict this value in the column?\n\nI apologize if this is a dumb question, but I'm new to Kaggle and still trying to figure things out. Any help would be greatly appreciated! Thank you.",
    "2170113": "From my understanding, '_q?' refers to the question number. Once you start a session, you will go through 5 chapters to complete the game. Each chapter consists of a specific number of levels. In total, the player goes through 18 questions. You are trying to predict whether the player will answer a specific question correctly (1) or incorrectly (0). I think this [post](https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/384796) will help you understand the details. In addition, I think this [notebook](https://www.kaggle.com/code/cdeotte/xgboost-baseline-0-676) will be a great start for developing your own pipeline.",
    "2171514": "I am really grateful!"
  },
  "source": "meta"
}