Bayesian Optimization Cost-Sensitive XGBoost Learning Algorithm for Imbalanced Data in Semiconductor Industry
This paper proposes an improved ensemble learning model based on extreme gradient boosting (XGBoost) with Bayesian optimization cost-sensitive learning algorithm for dealing with highly imbalanced data in the semiconductor process to achieve the highest possible pass and fail accuracy or recall for...
| الحاوية / القاعدة: | JORDAN JOURNAL OF ELECTRICAL ENGINEERING |
|---|---|
| المؤلفون الرئيسيون: | , , , , |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
TAFILA TECHNICAL UNIV (TTU)
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001114780100006 |