{
  "id": 358200,
  "title": "Solution 5th in PrivateLB and 8th in PublicLB",
  "url": "/competitions/digital-turbine-auction-bid-price-prediction/discussion/358200",
  "author_name": "Seqaeon",
  "post_date": "2022-10-07T00:40:45.629000",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>My Solution is pretty straighforward:</p>\n<ul>\n<li>Create new features based on the EventTimeStamp column( Date, Day, Month….)</li>\n<li>LGBM  with parameters (objective= 'rmse',metric= 'rmse', verbose=1, force_row_wise=True, num_iterations=8800)</li>\n</ul>\n<p>The code for the solution:<br>\n<a href=\"https://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb\" target=\"_blank\">https://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb</a></p>\n<p>The code for the Target encoding and data preprocessing done on the initial dataset to get the new dataset used for the solution:<br>\n<a href=\"https://www.kaggle.com/code/pearsejim01/target-encoding\" target=\"_blank\">https://www.kaggle.com/code/pearsejim01/target-encoding</a></p>",
  "messages": [
    {
      "id": 1975688,
      "postDate": "2022-10-07T00:40:45.630Z",
      "content": "<p>My Solution is pretty straighforward:</p>\n<ul>\n<li>Create new features based on the EventTimeStamp column( Date, Day, Month….)</li>\n<li>LGBM  with parameters (objective= 'rmse',metric= 'rmse', verbose=1, force_row_wise=True, num_iterations=8800)</li>\n</ul>\n<p>The code for the solution:<br>\n<a href=\"https://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb\" target=\"_blank\">https://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb</a></p>\n<p>The code for the Target encoding and data preprocessing done on the initial dataset to get the new dataset used for the solution:<br>\n<a href=\"https://www.kaggle.com/code/pearsejim01/target-encoding\" target=\"_blank\">https://www.kaggle.com/code/pearsejim01/target-encoding</a></p>",
      "rawMarkdown": "My Solution is pretty straighforward:\n\n- Create new features based on the EventTimeStamp column( Date, Day, Month....)\n- LGBM  with parameters (objective= 'rmse',metric= 'rmse', verbose=1, force_row_wise=True, num_iterations=8800)\n\n\n\nThe code for the solution:\nhttps://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb\n\nThe code for the Target encoding and data preprocessing done on the initial dataset to get the new dataset used for the solution:\nhttps://www.kaggle.com/code/pearsejim01/target-encoding",
      "votes": 2
    },
    {
      "id": 1975916,
      "postDate": "2022-10-07T04:48:40.447Z",
      "content": "<p>Congrats for the result and all the best!! This is a great approach <a href=\"https://www.kaggle.com/pearsejim01\" target=\"_blank\">@pearsejim01</a> </p>",
      "rawMarkdown": "Congrats for the result and all the best!! This is a great approach @pearsejim01 ",
      "replies": [
        {
          "id": 1976283,
          "postDate": "2022-10-07T09:26:36.107Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1975916,
      "author_name": "Ravi Ramakrishnan",
      "author_url": "",
      "post_date": "2022-10-07T04:48:40.447000",
      "content": "<p>Congrats for the result and all the best!! This is a great approach <a href=\"https://www.kaggle.com/pearsejim01\" target=\"_blank\">@pearsejim01</a> </p>",
      "votes": 0,
      "replies": [
        {
          "id": 1976283,
          "author_name": "",
          "author_url": "",
          "post_date": "2022-10-07T09:26:36.107000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1975688": "My Solution is pretty straighforward:\n\n- Create new features based on the EventTimeStamp column( Date, Day, Month....)\n- LGBM  with parameters (objective= 'rmse',metric= 'rmse', verbose=1, force_row_wise=True, num_iterations=8800)\n\n\n\nThe code for the solution:\nhttps://www.kaggle.com/code/pearsejim01/digital-turbine-6th-privatelb-8th-publiclb\n\nThe code for the Target encoding and data preprocessing done on the initial dataset to get the new dataset used for the solution:\nhttps://www.kaggle.com/code/pearsejim01/target-encoding",
    "1975916": "Congrats for the result and all the best!! This is a great approach @pearsejim01 "
  },
  "complete": true,
  "source": "existing_discussion",
  "competition_id": 37722,
  "competition_slug": "digital-turbine-auction-bid-price-prediction",
  "team_id": 9007765,
  "solution_url": "/competitions/digital-turbine-auction-bid-price-prediction/writeups/archaeonseq-solution-5th-in-privatelb-and-8th-in-p"
}