{
  "id": 535951,
  "title": "Score Meaning?",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/535951",
  "author_name": "Leena Mujahed",
  "post_date": "2024-09-25T05:38:44.065000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hey, This is a really dumb question that I'm asking right now but can someone tell me what the score on the Leaderboard means like does it mean the accuracy of the model or the speed or the efficiency(I'm new to kaggle and this is the first competition I'm participating in.</p>",
  "messages": [
    {
      "id": 2997988,
      "postDate": "2024-09-25T05:59:47.233Z",
      "content": "<p>Welcome to kaggle! Usually, it's helpful to start by looking at the description page, which says:</p>\n<blockquote>\n  <p>Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement).  In the event that there is less agreement than expected by chance, the metric may go below 0.</p>\n</blockquote>\n<p>So what you see in the LB are quadratic weighted kappa scores computed for the test data.</p>",
      "rawMarkdown": "Welcome to kaggle! Usually, it's helpful to start by looking at the description page, which says:\n\n>Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement).  In the event that there is less agreement than expected by chance, the metric may go below 0.\n\nSo what you see in the LB are quadratic weighted kappa scores computed for the test data.",
      "votes": 2,
      "replies": [
        {
          "id": 2998073,
          "postDate": "2024-09-25T07:53:47.520Z",
          "content": "<p>ohhhhhh I literally feel so dumb rn(as I should honestly) but thank you really cuz I didnt see that Idk how TYYYYY AGAIN</p>",
          "rawMarkdown": "ohhhhhh I literally feel so dumb rn(as I should honestly) but thank you really cuz I didnt see that Idk how TYYYYY AGAIN"
        }
      ]
    },
    {
      "id": 2997982,
      "postDate": "2024-09-25T05:38:44.067Z",
      "content": "<p>Hey, This is a really dumb question that I'm asking right now but can someone tell me what the score on the Leaderboard means like does it mean the accuracy of the model or the speed or the efficiency(I'm new to kaggle and this is the first competition I'm participating in.</p>",
      "rawMarkdown": "Hey, This is a really dumb question that I'm asking right now but can someone tell me what the score on the Leaderboard means like does it mean the accuracy of the model or the speed or the efficiency(I'm new to kaggle and this is the first competition I'm participating in."
    },
    {
      "id": 2998534,
      "postDate": "2024-09-25T18:10:44.727Z",
      "rawMarkdown": "",
      "votes": -1,
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 2997988,
      "author_name": "Antonina Dolgorukova",
      "author_url": "",
      "post_date": "2024-09-25T05:59:47.233000",
      "content": "<p>Welcome to kaggle! Usually, it's helpful to start by looking at the description page, which says:</p>\n<blockquote>\n  <p>Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement).  In the event that there is less agreement than expected by chance, the metric may go below 0.</p>\n</blockquote>\n<p>So what you see in the LB are quadratic weighted kappa scores computed for the test data.</p>",
      "votes": 2,
      "replies": [
        {
          "id": 2998073,
          "author_name": "Leena Mujahed",
          "author_url": "",
          "post_date": "2024-09-25T07:53:47.520000",
          "content": "<p>ohhhhhh I literally feel so dumb rn(as I should honestly) but thank you really cuz I didnt see that Idk how TYYYYY AGAIN</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 2998534,
      "author_name": "",
      "author_url": "",
      "post_date": "2024-09-25T18:10:44.727000",
      "content": "",
      "votes": -1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2997988": "Welcome to kaggle! Usually, it's helpful to start by looking at the description page, which says:\n\n>Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement).  In the event that there is less agreement than expected by chance, the metric may go below 0.\n\nSo what you see in the LB are quadratic weighted kappa scores computed for the test data.",
    "2997982": "Hey, This is a really dumb question that I'm asking right now but can someone tell me what the score on the Leaderboard means like does it mean the accuracy of the model or the speed or the efficiency(I'm new to kaggle and this is the first competition I'm participating in.",
    "2998534": ""
  }
}