{
  "id": 82088,
  "title": "Loyal spending reverse engineered!",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/82088",
  "author_name": "",
  "post_date": "2019-02-27T05:52:37.932090700Z",
  "votes": 22,
  "comment_count": 6,
  "views": 0,
  "content": "<p>Thank you all for such nice atmosphere in the competition! </p>\n\n<p>I wanted to share some of the interesting ideas, how it was possible to reverse engineer a big part of the future data just based on history and target values.</p>\n\n<p><a href=\"https://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target\">https://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target</a></p>\n\n<p>Personally, this was the best kernel I have written so far, and it took me a few steps to reach this point.</p>",
  "messages": [
    {
      "id": "479419",
      "postDate": "02/27/2019 05:52:37",
      "content": "<p>Thank you all for such nice atmosphere in the competition! </p>\n\n<p>I wanted to share some of the interesting ideas, how it was possible to reverse engineer a big part of the future data just based on history and target values.</p>\n\n<p><a href=\"https://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target\">https://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target</a></p>\n\n<p>Personally, this was the best kernel I have written so far, and it took me a few steps to reach this point.</p>",
      "rawMarkdown": "Thank you all for such nice atmosphere in the competition! \n\nI wanted to share some of the interesting ideas, how it was possible to reverse engineer a big part of the future data just based on history and target values.\n\nhttps://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target\n\nPersonally, this was the best kernel I have written so far, and it took me a few steps to reach this point.",
      "votes": null
    },
    {
      "id": "479461",
      "postDate": "02/27/2019 06:46:27",
      "content": "<p>Thanks for your sharing.</p>",
      "rawMarkdown": "Thanks for your sharing.",
      "votes": null
    },
    {
      "id": "479506",
      "postDate": "02/27/2019 07:49:49",
      "content": "<p>Thanks for sharing the kernel <a href=\"/raddar\">@raddar</a>. </p>",
      "rawMarkdown": "Thanks for sharing the kernel @raddar.",
      "votes": null
    },
    {
      "id": "479588",
      "postDate": "02/27/2019 09:04:36",
      "content": "<p>Congratulations! Thanks a lot <a href=\"/raddar\">@raddar</a>. I learnt a lot from your kernels, not just the feature engineering part but also how to approach the problem. I attribute some of my success in this competition to your kernels. Never stop making kernels :) </p>",
      "rawMarkdown": "Congratulations! Thanks a lot @raddar. I learnt a lot from your kernels, not just the feature engineering part but also how to approach the problem. I attribute some of my success in this competition to your kernels. Never stop making kernels :)",
      "votes": null
    },
    {
      "id": "479622",
      "postDate": "02/27/2019 09:41:18",
      "content": "<p>thank you!</p>",
      "rawMarkdown": "thank you!",
      "votes": null
    },
    {
      "id": "479678",
      "postDate": "02/27/2019 10:35:54",
      "content": "<p>Amazing work <a href=\"/raddar\">@raddar</a>!!!\nYour creativity is inspiring</p>",
      "rawMarkdown": "Amazing work @raddar!!!\nYour creativity is inspiring",
      "votes": null
    },
    {
      "id": "479720",
      "postDate": "02/27/2019 11:12:09",
      "content": "<p>Thank you, sir!</p>",
      "rawMarkdown": "Thank you, sir!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 479461,
      "author_name": "liewmanchoi",
      "author_url": "",
      "post_date": "02/27/2019 06:46:27",
      "content": "<p>Thanks for your sharing.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479506,
      "author_name": "karthik7395",
      "author_url": "",
      "post_date": "02/27/2019 07:49:49",
      "content": "<p>Thanks for sharing the kernel <a href=\"/raddar\">@raddar</a>. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479588,
      "author_name": "chandureddyvari",
      "author_url": "",
      "post_date": "02/27/2019 09:04:36",
      "content": "<p>Congratulations! Thanks a lot <a href=\"/raddar\">@raddar</a>. I learnt a lot from your kernels, not just the feature engineering part but also how to approach the problem. I attribute some of my success in this competition to your kernels. Never stop making kernels :) </p>",
      "votes": null,
      "replies": [
        {
          "id": 479622,
          "author_name": "raddar",
          "author_url": "",
          "post_date": "02/27/2019 09:41:18",
          "content": "<p>thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 479678,
      "author_name": "tpthegreat",
      "author_url": "",
      "post_date": "02/27/2019 10:35:54",
      "content": "<p>Amazing work <a href=\"/raddar\">@raddar</a>!!!\nYour creativity is inspiring</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 479720,
      "author_name": "codlife",
      "author_url": "",
      "post_date": "02/27/2019 11:12:09",
      "content": "<p>Thank you, sir!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "479419": "Thank you all for such nice atmosphere in the competition! \n\nI wanted to share some of the interesting ideas, how it was possible to reverse engineer a big part of the future data just based on history and target values.\n\nhttps://www.kaggle.com/raddar/unobserved-data-simulation-exploiting-target\n\nPersonally, this was the best kernel I have written so far, and it took me a few steps to reach this point.",
    "479461": "Thanks for your sharing.",
    "479506": "Thanks for sharing the kernel @raddar.",
    "479588": "Congratulations! Thanks a lot @raddar. I learnt a lot from your kernels, not just the feature engineering part but also how to approach the problem. I attribute some of my success in this competition to your kernels. Never stop making kernels :)",
    "479622": "thank you!",
    "479678": "Amazing work @raddar!!!\nYour creativity is inspiring",
    "479720": "Thank you, sir!"
  },
  "source": "meta"
}