{
  "id": 81025,
  "title": "Best Model without post-processing",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/81025",
  "author_name": "Kyle Peters",
  "post_date": "2019-02-18T16:48:14.876000",
  "votes": 5,
  "comment_count": 8,
  "views": 0,
  "content": "<p>I was wondering how people are getting such low RMSE.  I dedicated a lot of time to feature engineering, but without much improvement.  This leads me to believe that a lot of the improvement occurs with post-processing such as outlier detection and ensembling different predictions.  Can people post their lb scores without post-processing and how much gain occured with outlier detection and enembling.  Thank you.</p>",
  "messages": [
    {
      "id": 473894,
      "postDate": "2019-02-18T16:48:14.877Z",
      "content": "<p>I was wondering how people are getting such low RMSE.  I dedicated a lot of time to feature engineering, but without much improvement.  This leads me to believe that a lot of the improvement occurs with post-processing such as outlier detection and ensembling different predictions.  Can people post their lb scores without post-processing and how much gain occured with outlier detection and enembling.  Thank you.</p>",
      "rawMarkdown": "I was wondering how people are getting such low RMSE.  I dedicated a lot of time to feature engineering, but without much improvement.  This leads me to believe that a lot of the improvement occurs with post-processing such as outlier detection and ensembling different predictions.  Can people post their lb scores without post-processing and how much gain occured with outlier detection and enembling.  Thank you.",
      "votes": 5
    },
    {
      "id": 474900,
      "postDate": "2019-02-20T00:47:12.393Z",
      "content": "<p>My best single model has CV 3.637 LB 3.679\nI am worried big gap...</p>",
      "rawMarkdown": "My best single model has CV 3.637 LB 3.679\nI am worried big gap...",
      "votes": 1,
      "replies": [
        {
          "id": 476809,
          "postDate": "2019-02-23T07:48:50.783Z",
          "content": "<p>me too</p>",
          "rawMarkdown": "me too"
        }
      ]
    },
    {
      "id": 475202,
      "postDate": "2019-02-20T12:32:34.717Z",
      "content": "<p>How you define post-process?</p>",
      "rawMarkdown": "How you define post-process?",
      "votes": 2,
      "replies": [
        {
          "id": 475595,
          "postDate": "2019-02-21T00:44:56.207Z",
          "content": "<p><a href=\"/marcuslin\">@marcuslin</a>, my understanding of post-processing is to modify the target values according to some heuristics or replace target values with other values based on some criteria. </p>",
          "rawMarkdown": "@marcuslin, my understanding of post-processing is to modify the target values according to some heuristics or replace target values with other values based on some criteria. ",
          "votes": 2
        }
      ]
    },
    {
      "id": 475317,
      "postDate": "2019-02-20T15:57:51.793Z",
      "content": "<p>My best single model LightGBM has CV 3.648 LB 3.685 and XGB CV 3.645 LB 3.685</p>\n\n<p><a href=\"https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182\">https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182</a></p>",
      "rawMarkdown": "My best single model LightGBM has CV 3.648 LB 3.685 and XGB CV 3.645 LB 3.685\n\nhttps://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182\n"
    },
    {
      "id": 474278,
      "postDate": "2019-02-19T06:49:10.860Z",
      "content": "<p>can we have a talk?</p>\n\n<p>My best single model CV:3.641x LB:3.687</p>",
      "rawMarkdown": "can we have a talk?\n\nMy best single model CV:3.641x LB:3.687"
    },
    {
      "id": 474890,
      "postDate": "2019-02-20T00:27:30.193Z",
      "rawMarkdown": "",
      "votes": 1,
      "isDeleted": true
    },
    {
      "id": 473934,
      "postDate": "2019-02-18T17:55:10.063Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 474900,
      "author_name": "hatunina",
      "author_url": "",
      "post_date": "2019-02-20T00:47:12.393000",
      "content": "<p>My best single model has CV 3.637 LB 3.679\nI am worried big gap...</p>",
      "votes": 1,
      "replies": [
        {
          "id": 476809,
          "author_name": "Link",
          "author_url": "",
          "post_date": "2019-02-23T07:48:50.783000",
          "content": "<p>me too</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 475202,
      "author_name": "Marcus Lin",
      "author_url": "",
      "post_date": "2019-02-20T12:32:34.717000",
      "content": "<p>How you define post-process?</p>",
      "votes": 2,
      "replies": [
        {
          "id": 475595,
          "author_name": "FP",
          "author_url": "",
          "post_date": "2019-02-21T00:44:56.207000",
          "content": "<p><a href=\"/marcuslin\">@marcuslin</a>, my understanding of post-processing is to modify the target values according to some heuristics or replace target values with other values based on some criteria. </p>",
          "votes": 2,
          "replies": []
        }
      ]
    },
    {
      "id": 475317,
      "author_name": "Manoj",
      "author_url": "",
      "post_date": "2019-02-20T15:57:51.793000",
      "content": "<p>My best single model LightGBM has CV 3.648 LB 3.685 and XGB CV 3.645 LB 3.685</p>\n\n<p><a href=\"https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182\">https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 474278,
      "author_name": "Kang0709",
      "author_url": "",
      "post_date": "2019-02-19T06:49:10.860000",
      "content": "<p>can we have a talk?</p>\n\n<p>My best single model CV:3.641x LB:3.687</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 474890,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-02-20T00:27:30.193000",
      "content": "",
      "votes": 1,
      "replies": []
    },
    {
      "id": 473934,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-02-18T17:55:10.063000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "473894": "I was wondering how people are getting such low RMSE.  I dedicated a lot of time to feature engineering, but without much improvement.  This leads me to believe that a lot of the improvement occurs with post-processing such as outlier detection and ensembling different predictions.  Can people post their lb scores without post-processing and how much gain occured with outlier detection and enembling.  Thank you.",
    "474900": "My best single model has CV 3.637 LB 3.679\nI am worried big gap...",
    "475202": "How you define post-process?",
    "475317": "My best single model LightGBM has CV 3.648 LB 3.685 and XGB CV 3.645 LB 3.685\n\nhttps://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/80103#469182\n",
    "474278": "can we have a talk?\n\nMy best single model CV:3.641x LB:3.687",
    "474890": "",
    "473934": ""
  }
}