{
  "id": 339625,
  "title": "How can I interpret the features?",
  "url": "/competitions/amex-default-prediction/discussion/339625",
  "author_name": "",
  "post_date": "2022-07-25T17:22:02.796779200Z",
  "votes": 3,
  "comment_count": 5,
  "views": 0,
  "content": "<p>I am new to the competition and I am confused about how can I interpret the features. </p>\n<ul>\n<li>D_* = Delinquency variables</li>\n<li>S_* = Spend variables</li>\n<li>P_* = Payment variables</li>\n<li>B_* = Balance variables</li>\n<li>R_* = Risk variables </li>\n</ul>\n<p>I want to understand what the numerical terms at the end of each feature name imply. Like how S_1 is different from S_2 or the same for other features.</p>\n<p>Thank You. </p>",
  "messages": [
    {
      "id": "1870633",
      "postDate": "07/25/2022 17:22:02",
      "content": "<p>I am new to the competition and I am confused about how can I interpret the features. </p>\n<ul>\n<li>D_* = Delinquency variables</li>\n<li>S_* = Spend variables</li>\n<li>P_* = Payment variables</li>\n<li>B_* = Balance variables</li>\n<li>R_* = Risk variables </li>\n</ul>\n<p>I want to understand what the numerical terms at the end of each feature name imply. Like how S_1 is different from S_2 or the same for other features.</p>\n<p>Thank You. </p>",
      "rawMarkdown": "I am new to the competition and I am confused about how can I interpret the features. \n\n- D_* = Delinquency variables\n- S_* = Spend variables\n- P_* = Payment variables\n- B_* = Balance variables\n- R_* = Risk variables \n\nI want to understand what the numerical terms at the end of each feature name imply. Like how S_1 is different from S_2 or the same for other features.\n\nThank You.",
      "votes": null
    },
    {
      "id": "1870647",
      "postDate": "07/25/2022 17:35:55",
      "content": "<p>You probably have missed the term \"anonymized\" dataset. That is the point of it - make it hard to determine what they really are.</p>",
      "rawMarkdown": "You probably have missed the term \"anonymized\" dataset. That is the point of it - make it hard to determine what they really are.",
      "votes": null
    },
    {
      "id": "1870680",
      "postDate": "07/25/2022 18:11:12",
      "content": "<p>I am not sure if the features can be interpreted like this. This is an anonymous data-set and the features are hardly interpretable. </p>",
      "rawMarkdown": "I am not sure if the features can be interpreted like this. This is an anonymous data-set and the features are hardly interpretable.",
      "votes": null
    },
    {
      "id": "1870996",
      "postDate": "07/26/2022 02:06:53",
      "content": "<p>Ohh! ok I got that. </p>",
      "rawMarkdown": "Ohh! ok I got that.",
      "votes": null
    },
    {
      "id": "1870999",
      "postDate": "07/26/2022 02:07:37",
      "content": "<p>okay <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> </p>",
      "rawMarkdown": "okay @ravi20076",
      "votes": null
    },
    {
      "id": "1875036",
      "postDate": "07/28/2022 17:14:49",
      "content": "<p>Since the this is a banking data the real features might have been masked with aliases.no feature description is available </p>",
      "rawMarkdown": "Since the this is a banking data the real features might have been masked with aliases.no feature description is available",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1870647,
      "author_name": "raddar",
      "author_url": "",
      "post_date": "07/25/2022 17:35:55",
      "content": "<p>You probably have missed the term \"anonymized\" dataset. That is the point of it - make it hard to determine what they really are.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1870996,
          "author_name": "nkitgupta",
          "author_url": "",
          "post_date": "07/26/2022 02:06:53",
          "content": "<p>Ohh! ok I got that. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1870680,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "07/25/2022 18:11:12",
      "content": "<p>I am not sure if the features can be interpreted like this. This is an anonymous data-set and the features are hardly interpretable. </p>",
      "votes": null,
      "replies": [
        {
          "id": 1870999,
          "author_name": "nkitgupta",
          "author_url": "",
          "post_date": "07/26/2022 02:07:37",
          "content": "<p>okay <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1875036,
      "author_name": "madhuban17",
      "author_url": "",
      "post_date": "07/28/2022 17:14:49",
      "content": "<p>Since the this is a banking data the real features might have been masked with aliases.no feature description is available </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1870633": "I am new to the competition and I am confused about how can I interpret the features. \n\n- D_* = Delinquency variables\n- S_* = Spend variables\n- P_* = Payment variables\n- B_* = Balance variables\n- R_* = Risk variables \n\nI want to understand what the numerical terms at the end of each feature name imply. Like how S_1 is different from S_2 or the same for other features.\n\nThank You.",
    "1870647": "You probably have missed the term \"anonymized\" dataset. That is the point of it - make it hard to determine what they really are.",
    "1870680": "I am not sure if the features can be interpreted like this. This is an anonymous data-set and the features are hardly interpretable.",
    "1870996": "Ohh! ok I got that.",
    "1870999": "okay @ravi20076",
    "1875036": "Since the this is a banking data the real features might have been masked with aliases.no feature description is available"
  },
  "source": "meta"
}