Before revision:  In order to make  best use of the important features in the dataset, we propose a technique named "synthetic generation" to develop more combined features based on arithmetic operation, which ends up improving the accuracy and AUC of  original CatBoost model  .
After revision:  In order to make best use of the important features in the dataset, we propose a technique named "synthetic generation" to develop more combined features based on arithmetic operation, which ends up improving the accuracy and AUC of original CatBoost model . We obtain a high accuracy of 95.84\% and well-performed AUC of 98.80\% compared with the existent literature of related research .