{
  "id": 328819,
  "title": "AE -Customer Default Prediction Research",
  "url": "/competitions/amex-default-prediction/discussion/328819",
  "author_name": "RAMAR BOSE",
  "post_date": "2022-06-03T06:18:39.450000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hey folks, </p>\n<p>This study mined and analyzed customer default prediction. I refer, XGBoost - classification models, and Long-Short Term Memory (LSTM), We have customer forecasting information, here we can do the comparative model research. XGBoost model depends on the degree of the expertise in the feature extraction, but while we use LSTM can accomplish the high with feature extraction. The resulting XGBoost-LSTM model can show the good classification performance in default prediction.  </p>",
  "messages": [
    {
      "id": 1809938,
      "postDate": "2022-06-03T06:18:39.450Z",
      "content": "<p>Hey folks, </p>\n<p>This study mined and analyzed customer default prediction. I refer, XGBoost - classification models, and Long-Short Term Memory (LSTM), We have customer forecasting information, here we can do the comparative model research. XGBoost model depends on the degree of the expertise in the feature extraction, but while we use LSTM can accomplish the high with feature extraction. The resulting XGBoost-LSTM model can show the good classification performance in default prediction.  </p>",
      "rawMarkdown": "Hey folks, \n\nThis study mined and analyzed customer default prediction. I refer, XGBoost - classification models, and Long-Short Term Memory (LSTM), We have customer forecasting information, here we can do the comparative model research. XGBoost model depends on the degree of the expertise in the feature extraction, but while we use LSTM can accomplish the high with feature extraction. The resulting XGBoost-LSTM model can show the good classification performance in default prediction.  \n\n",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1809938": "Hey folks, \n\nThis study mined and analyzed customer default prediction. I refer, XGBoost - classification models, and Long-Short Term Memory (LSTM), We have customer forecasting information, here we can do the comparative model research. XGBoost model depends on the degree of the expertise in the feature extraction, but while we use LSTM can accomplish the high with feature extraction. The resulting XGBoost-LSTM model can show the good classification performance in default prediction.  \n\n"
  }
}