{
  "id": 40761,
  "title": "Is this wrongly tagged as churn?",
  "url": "/competitions/kkbox-churn-prediction-challenge/discussion/40761",
  "author_name": "",
  "post_date": "2017-10-07T19:28:10.961137700Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>let's look at the msno='++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='</p>\n\n<p>this msno marked as churn in train dataset, whereas in the transaction dataset there is a transaction on 20170216 and membership_expire_date on 20170321. as per the churn in train dataset, those who have no transaction in Feb2017 as extending his membership.</p>\n\n<p>Correct me if I am wrong.</p>",
  "messages": [
    {
      "id": "228766",
      "postDate": "10/07/2017 19:28:10",
      "content": "<p>let's look at the msno='++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='</p>\n\n<p>this msno marked as churn in train dataset, whereas in the transaction dataset there is a transaction on 20170216 and membership_expire_date on 20170321. as per the churn in train dataset, those who have no transaction in Feb2017 as extending his membership.</p>\n\n<p>Correct me if I am wrong.</p>",
      "rawMarkdown": "let's look at the msno='++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\n\nthis msno marked as churn in train dataset, whereas in the transaction dataset there is a transaction on 20170216 and membership_expire_date on 20170321. as per the churn in train dataset, those who have no transaction in Feb2017 as extending his membership.\n\nCorrect me if I am wrong.",
      "votes": null
    },
    {
      "id": "229240",
      "postDate": "10/09/2017 07:27:57",
      "content": "<p>Agree with you. \"'++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\" should not be marked as churn.</p>\n\n<p>\"The criteria of \"churn\" is no new valid service subscription within 30 days after the current membership expires.\"\n\"The train data consists of users whose subscription expires within the month of February 2017\"\nAccording to the description, all the users expires in Feb are in the train.csv,  who did not extends the  service in the next 30 days  marked as churn. </p>",
      "rawMarkdown": "Agree with you. \"'++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\" should not be marked as churn.\n\n\"The criteria of \"churn\" is no new valid service subscription within 30 days after the current membership expires.\"\n\"The train data consists of users whose subscription expires within the month of February 2017\"\nAccording to the description, all the users expires in Feb are in the train.csv,  who did not extends the  service in the next 30 days  marked as churn.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 229240,
      "author_name": "miaotao",
      "author_url": "",
      "post_date": "10/09/2017 07:27:57",
      "content": "<p>Agree with you. \"'++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\" should not be marked as churn.</p>\n\n<p>\"The criteria of \"churn\" is no new valid service subscription within 30 days after the current membership expires.\"\n\"The train data consists of users whose subscription expires within the month of February 2017\"\nAccording to the description, all the users expires in Feb are in the train.csv,  who did not extends the  service in the next 30 days  marked as churn. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "228766": "let's look at the msno='++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\n\nthis msno marked as churn in train dataset, whereas in the transaction dataset there is a transaction on 20170216 and membership_expire_date on 20170321. as per the churn in train dataset, those who have no transaction in Feb2017 as extending his membership.\n\nCorrect me if I am wrong.",
    "229240": "Agree with you. \"'++ViQ2i7L4hzLdBQ233Z8p4AxK9Vr38lSqZS09d2M84='\" should not be marked as churn.\n\n\"The criteria of \"churn\" is no new valid service subscription within 30 days after the current membership expires.\"\n\"The train data consists of users whose subscription expires within the month of February 2017\"\nAccording to the description, all the users expires in Feb are in the train.csv,  who did not extends the  service in the next 30 days  marked as churn."
  },
  "source": "meta"
}