{
  "id": 285241,
  "title": "Question about the submission",
  "url": "/competitions/g-research-crypto-forecasting/discussion/285241",
  "author_name": "",
  "post_date": "2021-11-03T23:40:15.809435300Z",
  "votes": 9,
  "comment_count": 6,
  "views": 0,
  "content": "<p>This is my first Kaggle competition that I am participating in, so this is going to be a dumb question.<br>\nWhat exactly are we predicting? Could someone explain the example_sample_submission.csv to me please?</p>",
  "messages": [
    {
      "id": "1570048",
      "postDate": "11/03/2021 23:40:15",
      "content": "<p>This is my first Kaggle competition that I am participating in, so this is going to be a dumb question.<br>\nWhat exactly are we predicting? Could someone explain the example_sample_submission.csv to me please?</p>",
      "rawMarkdown": "This is my first Kaggle competition that I am participating in, so this is going to be a dumb question.\nWhat exactly are we predicting? Could someone explain the example_sample_submission.csv to me please?",
      "votes": null
    },
    {
      "id": "1570198",
      "postDate": "11/04/2021 01:20:18",
      "content": "<p>Was wondering the same thing as well, coz it's my first competition too</p>",
      "rawMarkdown": "Was wondering the same thing as well, coz it's my first competition too",
      "votes": null
    },
    {
      "id": "1570585",
      "postDate": "11/04/2021 08:47:15",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/aikyle\" target=\"_blank\">@aikyle</a> , <a href=\"https://www.kaggle.com/qymmore\" target=\"_blank\">@qymmore</a> </p>\n<p>we are predicting <br>\n<code>Target: Residual log-returns for the asset over a 15-minute horizon.</code></p>\n<p>I recommend reading this great Tutorial <br>\n<a href=\"https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition\" target=\"_blank\">https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition</a></p>",
      "rawMarkdown": "Hi @aikyle , @qymmore \n\nwe are predicting \n`Target: Residual log-returns for the asset over a 15-minute horizon.`\n\nI recommend reading this great Tutorial \nhttps://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition",
      "votes": null
    },
    {
      "id": "1570866",
      "postDate": "11/04/2021 12:46:24",
      "content": "<p><a href=\"https://www.kaggle.com/faisalalsrheed\" target=\"_blank\">@faisalalsrheed</a> Thank you very much!</p>",
      "rawMarkdown": "faisalalsrheed Thank you very much!",
      "votes": null
    },
    {
      "id": "1570914",
      "postDate": "11/04/2021 13:32:25",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "1571147",
      "postDate": "11/04/2021 16:25:58",
      "content": "<p>Asking the same thing too.</p>",
      "rawMarkdown": "Asking the same thing too.",
      "votes": null
    },
    {
      "id": "1572434",
      "postDate": "11/05/2021 17:02:52",
      "content": "<p>The example_sample_submission.csv file is an example of what your submission should look like. You basically train your model and create a submission file based on the example one but with the output of your model. </p>",
      "rawMarkdown": "The example_sample_submission.csv file is an example of what your submission should look like. You basically train your model and create a submission file based on the example one but with the output of your model.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1570198,
      "author_name": "qymmore",
      "author_url": "",
      "post_date": "11/04/2021 01:20:18",
      "content": "<p>Was wondering the same thing as well, coz it's my first competition too</p>",
      "votes": null,
      "replies": [
        {
          "id": 1570585,
          "author_name": "faisalalsrheed",
          "author_url": "",
          "post_date": "11/04/2021 08:47:15",
          "content": "<p>Hi <a href=\"https://www.kaggle.com/aikyle\" target=\"_blank\">@aikyle</a> , <a href=\"https://www.kaggle.com/qymmore\" target=\"_blank\">@qymmore</a> </p>\n<p>we are predicting <br>\n<code>Target: Residual log-returns for the asset over a 15-minute horizon.</code></p>\n<p>I recommend reading this great Tutorial <br>\n<a href=\"https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition\" target=\"_blank\">https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition</a></p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1570914,
          "author_name": "qymmore",
          "author_url": "",
          "post_date": "11/04/2021 13:32:25",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1570866,
      "author_name": "aikyle",
      "author_url": "",
      "post_date": "11/04/2021 12:46:24",
      "content": "<p><a href=\"https://www.kaggle.com/faisalalsrheed\" target=\"_blank\">@faisalalsrheed</a> Thank you very much!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1571147,
      "author_name": "gemimaj",
      "author_url": "",
      "post_date": "11/04/2021 16:25:58",
      "content": "<p>Asking the same thing too.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1572434,
      "author_name": "patonoide",
      "author_url": "",
      "post_date": "11/05/2021 17:02:52",
      "content": "<p>The example_sample_submission.csv file is an example of what your submission should look like. You basically train your model and create a submission file based on the example one but with the output of your model. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1570048": "This is my first Kaggle competition that I am participating in, so this is going to be a dumb question.\nWhat exactly are we predicting? Could someone explain the example_sample_submission.csv to me please?",
    "1570198": "Was wondering the same thing as well, coz it's my first competition too",
    "1570585": "Hi @aikyle , @qymmore \n\nwe are predicting \n`Target: Residual log-returns for the asset over a 15-minute horizon.`\n\nI recommend reading this great Tutorial \nhttps://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition",
    "1570866": "faisalalsrheed Thank you very much!",
    "1570914": "Thank you!",
    "1571147": "Asking the same thing too.",
    "1572434": "The example_sample_submission.csv file is an example of what your submission should look like. You basically train your model and create a submission file based on the example one but with the output of your model."
  },
  "source": "meta"
}