{
  "id": 248458,
  "title": "From a beginner : What is Target 1 to Target 4? Any example to explain with?",
  "url": "/competitions/mlb-player-digital-engagement-forecasting/discussion/248458",
  "author_name": "",
  "post_date": "2021-06-23T15:30:16.063686500Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>From a beginner : What is Target 1 to Target 4? Any example to explain with?</p>\n<p>Hello All - I am a beginner and know the rules of baseball although not a great follower of game.</p>\n<p>I have read multiple discussions, competition overview etc but still not able to figure out what is Target 1 to Target 4? What is expected to be done?</p>\n<p>Any explanation helps.</p>\n<p>Thank you.</p>",
  "messages": [
    {
      "id": "1362722",
      "postDate": "06/23/2021 15:30:16",
      "content": "<p>From a beginner : What is Target 1 to Target 4? Any example to explain with?</p>\n<p>Hello All - I am a beginner and know the rules of baseball although not a great follower of game.</p>\n<p>I have read multiple discussions, competition overview etc but still not able to figure out what is Target 1 to Target 4? What is expected to be done?</p>\n<p>Any explanation helps.</p>\n<p>Thank you.</p>",
      "rawMarkdown": "From a beginner : What is Target 1 to Target 4? Any example to explain with?\n\nHello All - I am a beginner and know the rules of baseball although not a great follower of game.\n\nI have read multiple discussions, competition overview etc but still not able to figure out what is Target 1 to Target 4? What is expected to be done?\n\nAny explanation helps.\n\nThank you.",
      "votes": null
    },
    {
      "id": "1363114",
      "postDate": "06/23/2021 23:14:43",
      "content": "<p>I think I am getting a bit of it after reading the same contents multiple times.</p>\n<p>While explaining the data, it is mentioned that </p>\n<p><strong><em>target1-target4 are each daily indexes of digital engagement on a 0-100 scale.</em></strong></p>\n<p>and if you observe <em>train.csv</em> a bit more closely than it has one JSON field <em>nextDayPlayerEngagement</em> which has the date, playerId and target1 to target4 values. I think that the word <em>target</em> is just a masked label for digital engagement that Kaggle (read Google) is trying to identify that which player will have most attention on a specific date. This way they can get to know the most interesting player on that day.</p>\n<p>I am not going to worry about what behind the mask label <em>target</em>. As mentioned on few other discussions, it might be some twitter parameters like retweet_count, reply_count, like_count, quote_count or anything else.</p>\n<p>Since I am a beginner, I would just stop getting confused with the <em>target</em> word and work with train dataset to see if I can make any predictions.</p>\n<p>Thoughts - most welcome.</p>\n<p>From a Kaggle Beginner</p>",
      "rawMarkdown": "I think I am getting a bit of it after reading the same contents multiple times.\n\nWhile explaining the data, it is mentioned that \n\n***target1-target4 are each daily indexes of digital engagement on a 0-100 scale.***\n\nand if you observe *train.csv* a bit more closely than it has one JSON field *nextDayPlayerEngagement* which has the date, playerId and target1 to target4 values. I think that the word *target* is just a masked label for digital engagement that Kaggle (read Google) is trying to identify that which player will have most attention on a specific date. This way they can get to know the most interesting player on that day.\n\nI am not going to worry about what behind the mask label *target*. As mentioned on few other discussions, it might be some twitter parameters like retweet_count, reply_count, like_count, quote_count or anything else.\n\nSince I am a beginner, I would just stop getting confused with the *target* word and work with train dataset to see if I can make any predictions.\n\nThoughts - most welcome.\n\nFrom a Kaggle Beginner",
      "votes": null
    },
    {
      "id": "1363125",
      "postDate": "06/23/2021 23:38:33",
      "content": "<p>Target 1 to 4 are the values that you will build a model to predict.  So these are the Y's.  They are some type of measurements of internet activity for each player on a given day.  </p>\n<p>You need a model that will use those values and the features you select and predict the 4 target values for the test data.   </p>\n<p>If your a beginner it does not really matter what they are - if your more than a beginner than you might want to understand what they are so you can go find some additional data on the internet that can be added to improve your model results.</p>\n<p>Understanding what they are can also help when your trying to create new features beyond those supplied in the data - but first you need a good model that can use the existing data and make some decent predictions of the target1…4 values for the test set.</p>",
      "rawMarkdown": "Target 1 to 4 are the values that you will build a model to predict.  So these are the Y's.  They are some type of measurements of internet activity for each player on a given day.  \n\nYou need a model that will use those values and the features you select and predict the 4 target values for the test data.   \n\nIf your a beginner it does not really matter what they are - if your more than a beginner than you might want to understand what they are so you can go find some additional data on the internet that can be added to improve your model results.\n\nUnderstanding what they are can also help when your trying to create new features beyond those supplied in the data - but first you need a good model that can use the existing data and make some decent predictions of the target1...4 values for the test set.",
      "votes": null
    },
    {
      "id": "1363137",
      "postDate": "06/24/2021 00:19:13",
      "content": "<p>There are a few discussions around this and how closely it resembles Twitter data. </p>",
      "rawMarkdown": "There are a few discussions around this and how closely it resembles Twitter data.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1363114,
      "author_name": "sandeepgaadhe",
      "author_url": "",
      "post_date": "06/23/2021 23:14:43",
      "content": "<p>I think I am getting a bit of it after reading the same contents multiple times.</p>\n<p>While explaining the data, it is mentioned that </p>\n<p><strong><em>target1-target4 are each daily indexes of digital engagement on a 0-100 scale.</em></strong></p>\n<p>and if you observe <em>train.csv</em> a bit more closely than it has one JSON field <em>nextDayPlayerEngagement</em> which has the date, playerId and target1 to target4 values. I think that the word <em>target</em> is just a masked label for digital engagement that Kaggle (read Google) is trying to identify that which player will have most attention on a specific date. This way they can get to know the most interesting player on that day.</p>\n<p>I am not going to worry about what behind the mask label <em>target</em>. As mentioned on few other discussions, it might be some twitter parameters like retweet_count, reply_count, like_count, quote_count or anything else.</p>\n<p>Since I am a beginner, I would just stop getting confused with the <em>target</em> word and work with train dataset to see if I can make any predictions.</p>\n<p>Thoughts - most welcome.</p>\n<p>From a Kaggle Beginner</p>",
      "votes": null,
      "replies": [
        {
          "id": 1363137,
          "author_name": "crained",
          "author_url": "",
          "post_date": "06/24/2021 00:19:13",
          "content": "<p>There are a few discussions around this and how closely it resembles Twitter data. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1363125,
      "author_name": "pcjimmmy",
      "author_url": "",
      "post_date": "06/23/2021 23:38:33",
      "content": "<p>Target 1 to 4 are the values that you will build a model to predict.  So these are the Y's.  They are some type of measurements of internet activity for each player on a given day.  </p>\n<p>You need a model that will use those values and the features you select and predict the 4 target values for the test data.   </p>\n<p>If your a beginner it does not really matter what they are - if your more than a beginner than you might want to understand what they are so you can go find some additional data on the internet that can be added to improve your model results.</p>\n<p>Understanding what they are can also help when your trying to create new features beyond those supplied in the data - but first you need a good model that can use the existing data and make some decent predictions of the target1…4 values for the test set.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1362722": "From a beginner : What is Target 1 to Target 4? Any example to explain with?\n\nHello All - I am a beginner and know the rules of baseball although not a great follower of game.\n\nI have read multiple discussions, competition overview etc but still not able to figure out what is Target 1 to Target 4? What is expected to be done?\n\nAny explanation helps.\n\nThank you.",
    "1363114": "I think I am getting a bit of it after reading the same contents multiple times.\n\nWhile explaining the data, it is mentioned that \n\n***target1-target4 are each daily indexes of digital engagement on a 0-100 scale.***\n\nand if you observe *train.csv* a bit more closely than it has one JSON field *nextDayPlayerEngagement* which has the date, playerId and target1 to target4 values. I think that the word *target* is just a masked label for digital engagement that Kaggle (read Google) is trying to identify that which player will have most attention on a specific date. This way they can get to know the most interesting player on that day.\n\nI am not going to worry about what behind the mask label *target*. As mentioned on few other discussions, it might be some twitter parameters like retweet_count, reply_count, like_count, quote_count or anything else.\n\nSince I am a beginner, I would just stop getting confused with the *target* word and work with train dataset to see if I can make any predictions.\n\nThoughts - most welcome.\n\nFrom a Kaggle Beginner",
    "1363125": "Target 1 to 4 are the values that you will build a model to predict.  So these are the Y's.  They are some type of measurements of internet activity for each player on a given day.  \n\nYou need a model that will use those values and the features you select and predict the 4 target values for the test data.   \n\nIf your a beginner it does not really matter what they are - if your more than a beginner than you might want to understand what they are so you can go find some additional data on the internet that can be added to improve your model results.\n\nUnderstanding what they are can also help when your trying to create new features beyond those supplied in the data - but first you need a good model that can use the existing data and make some decent predictions of the target1...4 values for the test set.",
    "1363137": "There are a few discussions around this and how closely it resembles Twitter data."
  },
  "source": "meta"
}