{
  "id": 78614,
  "title": "the LB score isnot improve . i need to spend time in feature or Algorithm",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/78614",
  "author_name": "",
  "post_date": "2019-01-26T02:48:28.838640100Z",
  "votes": null,
  "comment_count": 6,
  "views": 0,
  "content": "",
  "messages": [
    {
      "id": "461432",
      "postDate": "01/26/2019 02:48:28",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "461434",
      "postDate": "01/26/2019 02:51:18",
      "content": "<p>features probably.</p>",
      "rawMarkdown": "features probably.",
      "votes": null
    },
    {
      "id": "461561",
      "postDate": "01/26/2019 11:29:03",
      "content": "<p>thanks</p>",
      "rawMarkdown": "thanks",
      "votes": null
    },
    {
      "id": "462243",
      "postDate": "01/28/2019 00:00:59",
      "content": "<p>I am currently investigating and applying Recursive Feature selection on the ELO Dataset.</p>\n\n<p>Here is the first release of the Kernel. I am only using the historical transaction data in this example (Since there are no missing values) to understand the application of Recursive Feature Selection.</p>\n\n<p>Recursive Feature Selection using SkLearn on ELO\n<a href=\"https://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948\">https://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948</a></p>\n\n<p>Please comment and vote, if this helps improving your score on the competition.</p>",
      "rawMarkdown": "I am currently investigating and applying Recursive Feature selection on the ELO Dataset.\n\nHere is the first release of the Kernel. I am only using the historical transaction data in this example (Since there are no missing values) to understand the application of Recursive Feature Selection.\n\nRecursive Feature Selection using SkLearn on ELO\nhttps://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948\n\nPlease comment and vote, if this helps improving your score on the competition.",
      "votes": null
    },
    {
      "id": "462246",
      "postDate": "01/28/2019 00:11:06",
      "content": "<p>I will recommend spending time on feature engineering.</p>",
      "rawMarkdown": "I will recommend spending time on feature engineering.",
      "votes": null
    },
    {
      "id": "463122",
      "postDate": "01/29/2019 13:04:39",
      "content": "<p>Yes,  features probably.</p>",
      "rawMarkdown": "Yes,  features probably.",
      "votes": null
    },
    {
      "id": "463452",
      "postDate": "01/30/2019 02:10:22",
      "content": "<p>definitely way to go</p>",
      "rawMarkdown": "definitely way to go",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 461434,
      "author_name": "subikashpal",
      "author_url": "",
      "post_date": "01/26/2019 02:51:18",
      "content": "<p>features probably.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 461561,
      "author_name": "shi1995",
      "author_url": "",
      "post_date": "01/26/2019 11:29:03",
      "content": "<p>thanks</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 462243,
      "author_name": "roydatascience",
      "author_url": "",
      "post_date": "01/28/2019 00:00:59",
      "content": "<p>I am currently investigating and applying Recursive Feature selection on the ELO Dataset.</p>\n\n<p>Here is the first release of the Kernel. I am only using the historical transaction data in this example (Since there are no missing values) to understand the application of Recursive Feature Selection.</p>\n\n<p>Recursive Feature Selection using SkLearn on ELO\n<a href=\"https://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948\">https://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948</a></p>\n\n<p>Please comment and vote, if this helps improving your score on the competition.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 462246,
      "author_name": "cv13j0",
      "author_url": "",
      "post_date": "01/28/2019 00:11:06",
      "content": "<p>I will recommend spending time on feature engineering.</p>",
      "votes": null,
      "replies": [
        {
          "id": 463452,
          "author_name": "pukkinming",
          "author_url": "",
          "post_date": "01/30/2019 02:10:22",
          "content": "<p>definitely way to go</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 463122,
      "author_name": "longyin2",
      "author_url": "",
      "post_date": "01/29/2019 13:04:39",
      "content": "<p>Yes,  features probably.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "461432": "",
    "461434": "features probably.",
    "461561": "thanks",
    "462243": "I am currently investigating and applying Recursive Feature selection on the ELO Dataset.\n\nHere is the first release of the Kernel. I am only using the historical transaction data in this example (Since there are no missing values) to understand the application of Recursive Feature Selection.\n\nRecursive Feature Selection using SkLearn on ELO\nhttps://www.kaggle.com/roydatascience/recursive-feature-selection-using-sklearn-on-elo?scriptVersionId=9969948\n\nPlease comment and vote, if this helps improving your score on the competition.",
    "462246": "I will recommend spending time on feature engineering.",
    "463122": "Yes,  features probably.",
    "463452": "definitely way to go"
  },
  "source": "meta"
}