{
  "id": 24168,
  "title": "What's the meaning of \"T1\", \"T3\" in train_categorical.csv ?",
  "url": "/competitions/bosch-production-line-performance/discussion/24168",
  "author_name": "",
  "post_date": "2016-10-07T11:02:08.987Z",
  "votes": null,
  "comment_count": 4,
  "views": 374,
  "content": "<p>I don't understand the data of train_categorical.csv, anyone can explain it ? Thank you.</p>",
  "messages": [
    {
      "id": "138137",
      "postDate": "10/07/2016 11:02:08",
      "content": "<p>I don't understand the data of train_categorical.csv, anyone can explain it ? Thank you.</p>",
      "rawMarkdown": "I don't understand the data of train_categorical.csv, anyone can explain it ? Thank you.",
      "votes": null
    },
    {
      "id": "138142",
      "postDate": "10/07/2016 11:36:21",
      "content": "<p>Hi thesby,</p>\n\n<p>We don't know. Some kagglers guess about it.<br>\n<a href=\"https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849\">https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849</a><br>\nInversion's guess is they are defect categories. T1 = Surface Defect, T16 = Surface Defect : Scratch ...</p>",
      "rawMarkdown": "Hi thesby,\r\n\r\nWe don't know. Some kagglers guess about it.<br>\r\nhttps://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849<br>\r\nInversion's guess is they are defect categories. T1 = Surface Defect, T16 = Surface Defect : Scratch ...",
      "votes": null
    },
    {
      "id": "138143",
      "postDate": "10/07/2016 11:38:27",
      "content": "<p>The meaning is not known, the data is anonymized. Have a look at this discussion about the categories:</p>\n\n<p><a href=\"https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855\">https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855</a></p>\n\n<p>EDIT: toshi was faster :-)</p>",
      "rawMarkdown": "The meaning is not known, the data is anonymized. Have a look at this discussion about the categories:\r\n\r\nhttps://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855\r\n\r\n\r\nEDIT: toshi was faster :-)",
      "votes": null
    },
    {
      "id": "138148",
      "postDate": "10/07/2016 12:13:35",
      "content": "<p>If the train_categorical info is ignored, what about the result of prediction ?</p>",
      "rawMarkdown": "If the train_categorical info is ignored, what about the result of prediction ?",
      "votes": null
    },
    {
      "id": "138150",
      "postDate": "10/07/2016 12:19:23",
      "content": "<p>Result of prediction is called &quot;Response&quot;.\ntrain_numeric.csv have response column for training models.\ntest_numeric.csv don't have response response column.<br>\nWe predict &quot;Response&quot; for test data.</p>",
      "rawMarkdown": "Result of prediction is called \"Response\".\r\ntrain_numeric.csv have response column for training models.\r\ntest_numeric.csv don't have response response column.<br>\r\nWe predict \"Response\" for test data.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 138142,
      "author_name": "toshik",
      "author_url": "",
      "post_date": "10/07/2016 11:36:21",
      "content": "<p>Hi thesby,</p>\n\n<p>We don't know. Some kagglers guess about it.<br>\n<a href=\"https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849\">https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849</a><br>\nInversion's guess is they are defect categories. T1 = Surface Defect, T16 = Surface Defect : Scratch ...</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 138143,
      "author_name": "kailicht",
      "author_url": "",
      "post_date": "10/07/2016 11:38:27",
      "content": "<p>The meaning is not known, the data is anonymized. Have a look at this discussion about the categories:</p>\n\n<p><a href=\"https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855\">https://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855</a></p>\n\n<p>EDIT: toshi was faster :-)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 138148,
      "author_name": "thesby",
      "author_url": "",
      "post_date": "10/07/2016 12:13:35",
      "content": "<p>If the train_categorical info is ignored, what about the result of prediction ?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 138150,
      "author_name": "toshik",
      "author_url": "",
      "post_date": "10/07/2016 12:19:23",
      "content": "<p>Result of prediction is called &quot;Response&quot;.\ntrain_numeric.csv have response column for training models.\ntest_numeric.csv don't have response response column.<br>\nWe predict &quot;Response&quot; for test data.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "138137": "I don't understand the data of train_categorical.csv, anyone can explain it ? Thank you.",
    "138142": "Hi thesby,\r\n\r\nWe don't know. Some kagglers guess about it.<br>\r\nhttps://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132849#post132849<br>\r\nInversion's guess is they are defect categories. T1 = Surface Defect, T16 = Surface Defect : Scratch ...",
    "138143": "The meaning is not known, the data is anonymized. Have a look at this discussion about the categories:\r\n\r\nhttps://www.kaggle.com/c/bosch-production-line-performance/forums/t/23135/questions-about-categorical-csv/132855\r\n\r\n\r\nEDIT: toshi was faster :-)",
    "138148": "If the train_categorical info is ignored, what about the result of prediction ?",
    "138150": "Result of prediction is called \"Response\".\r\ntrain_numeric.csv have response column for training models.\r\ntest_numeric.csv don't have response response column.<br>\r\nWe predict \"Response\" for test data."
  },
  "source": "meta"
}