{
  "id": 356982,
  "title": "A Beginner Question Rocket League Dataset",
  "url": "/competitions/tabular-playground-series-oct-2022/discussion/356982",
  "author_name": "",
  "post_date": "2022-10-02T19:04:26.639141300Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hey community i was going through this competition and people's notes and i am unable to understand few things<br>\n-&gt; Isn't this a time series dataset , if yes i am seeing people using Lightgbm classifier ? , i read code and discussion topics of this competition and just need a few starting pointers like how to approach this dataset what models will be best to use here </p>",
  "messages": [
    {
      "id": "1967952",
      "postDate": "10/02/2022 19:04:26",
      "content": "<p>Hey community i was going through this competition and people's notes and i am unable to understand few things<br>\n-&gt; Isn't this a time series dataset , if yes i am seeing people using Lightgbm classifier ? , i read code and discussion topics of this competition and just need a few starting pointers like how to approach this dataset what models will be best to use here </p>",
      "rawMarkdown": "Hey community i was going through this competition and people's notes and i am unable to understand few things\n-> Isn't this a time series dataset , if yes i am seeing people using Lightgbm classifier ? , i read code and discussion topics of this competition and just need a few starting pointers like how to approach this dataset what models will be best to use here",
      "votes": null
    },
    {
      "id": "1968012",
      "postDate": "10/02/2022 19:55:25",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/g9jiggy\" target=\"_blank\">@g9jiggy</a>, it's because the test dataset is shuffled. Only the training dataset provides timestamps, sorted by game_num and event_id. </p>",
      "rawMarkdown": "Hey @g9jiggy, it's because the test dataset is shuffled. Only the training dataset provides timestamps, sorted by game_num and event_id.",
      "votes": null
    },
    {
      "id": "1968015",
      "postDate": "10/02/2022 20:05:02",
      "content": "<p>You may use such models for this dataset, this dataset contains temporal information along with much more. Also <a href=\"https://www.kaggle.com/aatiffraz\" target=\"_blank\">@aatiffraz</a> has correctly pointed out that the test set is randomly shuffled leading to a loss of time-based continuity.<br>\nHope this helps <a href=\"https://www.kaggle.com/g9jiggy\" target=\"_blank\">@g9jiggy</a> </p>",
      "rawMarkdown": "You may use such models for this dataset, this dataset contains temporal information along with much more. Also @aatiffraz has correctly pointed out that the test set is randomly shuffled leading to a loss of time-based continuity.\nHope this helps @g9jiggy",
      "votes": null
    },
    {
      "id": "1968344",
      "postDate": "10/03/2022 04:07:02",
      "content": "<p>Thanks <a href=\"https://www.kaggle.com/aatiffraz\" target=\"_blank\">@aatiffraz</a> and <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> , so this is a normal tabular dataset and we just have to predict the probability of score of Team A or B depending on the position and velocity of ball and players , and hence people are using classification algorithms to win this challenge ?</p>",
      "rawMarkdown": "Thanks @aatiffraz and @ravi20076 , so this is a normal tabular dataset and we just have to predict the probability of score of Team A or B depending on the position and velocity of ball and players , and hence people are using classification algorithms to win this challenge ?",
      "votes": null
    },
    {
      "id": "1968425",
      "postDate": "10/03/2022 04:47:41",
      "content": "<p>Yes, that is right. You are right too, this table contains time series and panel information, this can also be used to generate a different approach. This problem can be solved in many ways. </p>",
      "rawMarkdown": "Yes, that is right. You are right too, this table contains time series and panel information, this can also be used to generate a different approach. This problem can be solved in many ways.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1968012,
      "author_name": "aatiffraz",
      "author_url": "",
      "post_date": "10/02/2022 19:55:25",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/g9jiggy\" target=\"_blank\">@g9jiggy</a>, it's because the test dataset is shuffled. Only the training dataset provides timestamps, sorted by game_num and event_id. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1968015,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "10/02/2022 20:05:02",
      "content": "<p>You may use such models for this dataset, this dataset contains temporal information along with much more. Also <a href=\"https://www.kaggle.com/aatiffraz\" target=\"_blank\">@aatiffraz</a> has correctly pointed out that the test set is randomly shuffled leading to a loss of time-based continuity.<br>\nHope this helps <a href=\"https://www.kaggle.com/g9jiggy\" target=\"_blank\">@g9jiggy</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 1968344,
          "author_name": "g9jiggy",
          "author_url": "",
          "post_date": "10/03/2022 04:07:02",
          "content": "<p>Thanks <a href=\"https://www.kaggle.com/aatiffraz\" target=\"_blank\">@aatiffraz</a> and <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> , so this is a normal tabular dataset and we just have to predict the probability of score of Team A or B depending on the position and velocity of ball and players , and hence people are using classification algorithms to win this challenge ?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1968425,
          "author_name": "ravi20076",
          "author_url": "",
          "post_date": "10/03/2022 04:47:41",
          "content": "<p>Yes, that is right. You are right too, this table contains time series and panel information, this can also be used to generate a different approach. This problem can be solved in many ways. </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1967952": "Hey community i was going through this competition and people's notes and i am unable to understand few things\n-> Isn't this a time series dataset , if yes i am seeing people using Lightgbm classifier ? , i read code and discussion topics of this competition and just need a few starting pointers like how to approach this dataset what models will be best to use here",
    "1968012": "Hey @g9jiggy, it's because the test dataset is shuffled. Only the training dataset provides timestamps, sorted by game_num and event_id.",
    "1968015": "You may use such models for this dataset, this dataset contains temporal information along with much more. Also @aatiffraz has correctly pointed out that the test set is randomly shuffled leading to a loss of time-based continuity.\nHope this helps @g9jiggy",
    "1968344": "Thanks @aatiffraz and @ravi20076 , so this is a normal tabular dataset and we just have to predict the probability of score of Team A or B depending on the position and velocity of ball and players , and hence people are using classification algorithms to win this challenge ?",
    "1968425": "Yes, that is right. You are right too, this table contains time series and panel information, this can also be used to generate a different approach. This problem can be solved in many ways."
  },
  "source": "meta"
}