初步研究結果顯示，在決策樹中，未經資料平衡處理的分類器績效(正確率：0

初步研究結果顯示，在決策樹中，未經資料平衡處理的分類器績效(正確率：0.81%、AUC：0.57%)、若以減少多數法處理(正確率：0.66%、AUC：0.67%)、以SMOTE處理(正確率：0.82%、AUC：0.85%)。

結果 (英文) 1:

Preliminary results show that, in the decision tree, without the classifier performance data processing balance (accuracy: 0.81%, AUC: 0.57%), In terms of reducing most of the processing method (accuracy: 0.66%, AUC: 0.67%) to SMOTE process (accuracy rate: 0.82%, AUC: 0.85%).

結果 (英文) 2:

collide

結果 (英文) 3:

The preliminary research results show that in the decision tree, the performance of the classifier without data balance processing (accuracy: 0.81%, AUC: 0.57%), if the majority method processing is reduced (accuracy: 0.66%, AUC: 0.67%), and smote processing (accuracy: 0.82%, AUC: 0.85%).