{
  "id": 546798,
  "title": "what does the true or false mean in features.csv?",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/546798",
  "author_name": "",
  "post_date": "2024-11-18T05:50:51.888184600Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>I do not understand the proportion of  true or false for the tag_0, tag_1,…,tag_9 for each feature.<br>\ncould anybody explain to me? </p>",
  "messages": [
    {
      "id": "3048576",
      "postDate": "11/18/2024 05:50:51",
      "content": "<p>I do not understand the proportion of  true or false for the tag_0, tag_1,…,tag_9 for each feature.<br>\ncould anybody explain to me? </p>",
      "rawMarkdown": "I do not understand the proportion of  true or false for the tag_0, tag_1,...,tag_9 for each feature.\ncould anybody explain to me?",
      "votes": null
    },
    {
      "id": "3048795",
      "postDate": "11/18/2024 11:13:03",
      "content": "<p>It means the features with true labels for the same tags are similar in some way. Which way we cannot know since everything is anonymized. But the tags could mean, for example, volume features, moving average features, oscillators, etc.</p>",
      "rawMarkdown": "It means the features with true labels for the same tags are similar in some way. Which way we cannot know since everything is anonymized. But the tags could mean, for example, volume features, moving average features, oscillators, etc.",
      "votes": null
    },
    {
      "id": "3048903",
      "postDate": "11/18/2024 13:26:31",
      "content": "<p>The features with the same tag structure may be the same type.This file may help us do feature engineering, but I have no idea for now.</p>",
      "rawMarkdown": "The features with the same tag structure may be the same type.This file may help us do feature engineering, but I have no idea for now.",
      "votes": null
    },
    {
      "id": "3049536",
      "postDate": "11/19/2024 08:29:18",
      "content": "<p>yep, i think Natan Labarrer's comment is a good answer.</p>",
      "rawMarkdown": "yep, i think Natan Labarrer's comment is a good answer.",
      "votes": null
    },
    {
      "id": "3049537",
      "postDate": "11/19/2024 08:29:36",
      "content": "<p>thanks, you are right.</p>",
      "rawMarkdown": "thanks, you are right.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3048795,
      "author_name": "natanlabarrere",
      "author_url": "",
      "post_date": "11/18/2024 11:13:03",
      "content": "<p>It means the features with true labels for the same tags are similar in some way. Which way we cannot know since everything is anonymized. But the tags could mean, for example, volume features, moving average features, oscillators, etc.</p>",
      "votes": null,
      "replies": [
        {
          "id": 3049537,
          "author_name": "unknowntrader",
          "author_url": "",
          "post_date": "11/19/2024 08:29:36",
          "content": "<p>thanks, you are right.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 3048903,
      "author_name": "i2nfinit3y",
      "author_url": "",
      "post_date": "11/18/2024 13:26:31",
      "content": "<p>The features with the same tag structure may be the same type.This file may help us do feature engineering, but I have no idea for now.</p>",
      "votes": null,
      "replies": [
        {
          "id": 3049536,
          "author_name": "unknowntrader",
          "author_url": "",
          "post_date": "11/19/2024 08:29:18",
          "content": "<p>yep, i think Natan Labarrer's comment is a good answer.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3048576": "I do not understand the proportion of  true or false for the tag_0, tag_1,...,tag_9 for each feature.\ncould anybody explain to me?",
    "3048795": "It means the features with true labels for the same tags are similar in some way. Which way we cannot know since everything is anonymized. But the tags could mean, for example, volume features, moving average features, oscillators, etc.",
    "3048903": "The features with the same tag structure may be the same type.This file may help us do feature engineering, but I have no idea for now.",
    "3049536": "yep, i think Natan Labarrer's comment is a good answer.",
    "3049537": "thanks, you are right."
  },
  "source": "meta"
}