{
  "id": 348558,
  "title": "Confused about the Metric",
  "url": "/competitions/open-problems-multimodal/discussion/348558",
  "author_name": "",
  "post_date": "2022-08-29T03:45:07.065215Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>So I'm basically confused on what exact \"correlation\" means the image. I'm not sure it matters, but I'm asking if there's a specific formula given?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4722780%2F5de25581340ceebc94d0d88457010bd0%2Fpredict.png?generation=1661744827776297&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": "1917766",
      "postDate": "08/29/2022 03:45:07",
      "content": "<p>So I'm basically confused on what exact \"correlation\" means the image. I'm not sure it matters, but I'm asking if there's a specific formula given?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4722780%2F5de25581340ceebc94d0d88457010bd0%2Fpredict.png?generation=1661744827776297&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "So I'm basically confused on what exact \"correlation\" means the image. I'm not sure it matters, but I'm asking if there's a specific formula given?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4722780%2F5de25581340ceebc94d0d88457010bd0%2Fpredict.png?generation=1661744827776297&alt=media)",
      "votes": null
    },
    {
      "id": "1917839",
      "postDate": "08/29/2022 05:37:38",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/pybeast\" target=\"_blank\">@pybeast</a>, the <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/overview/evaluation\" target=\"_blank\">competition evaluation page</a> links to the Wikipedia definition. </p>\n<p>For implementations, see <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347595\" target=\"_blank\">this discussion (TensorFlow/Keras)</a> or <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">this notebook (numpy)</a>.</p>",
      "rawMarkdown": "Hi @pybeast, the [competition evaluation page](https://www.kaggle.com/competitions/open-problems-multimodal/overview/evaluation) links to the Wikipedia definition. \n\nFor implementations, see [this discussion (TensorFlow/Keras)](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347595) or [this notebook (numpy)](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart).",
      "votes": null
    },
    {
      "id": "1918703",
      "postDate": "08/29/2022 18:56:47",
      "content": "<p>i think this image gives the rate of the model performance </p>",
      "rawMarkdown": "i think this image gives the rate of the model performance",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1917839,
      "author_name": "ambrosm",
      "author_url": "",
      "post_date": "08/29/2022 05:37:38",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/pybeast\" target=\"_blank\">@pybeast</a>, the <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/overview/evaluation\" target=\"_blank\">competition evaluation page</a> links to the Wikipedia definition. </p>\n<p>For implementations, see <a href=\"https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347595\" target=\"_blank\">this discussion (TensorFlow/Keras)</a> or <a href=\"https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\" target=\"_blank\">this notebook (numpy)</a>.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1918703,
      "author_name": "mohammadraid",
      "author_url": "",
      "post_date": "08/29/2022 18:56:47",
      "content": "<p>i think this image gives the rate of the model performance </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1917766": "So I'm basically confused on what exact \"correlation\" means the image. I'm not sure it matters, but I'm asking if there's a specific formula given?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4722780%2F5de25581340ceebc94d0d88457010bd0%2Fpredict.png?generation=1661744827776297&alt=media)",
    "1917839": "Hi @pybeast, the [competition evaluation page](https://www.kaggle.com/competitions/open-problems-multimodal/overview/evaluation) links to the Wikipedia definition. \n\nFor implementations, see [this discussion (TensorFlow/Keras)](https://www.kaggle.com/competitions/open-problems-multimodal/discussion/347595) or [this notebook (numpy)](https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart).",
    "1918703": "i think this image gives the rate of the model performance"
  },
  "source": "meta"
}