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...
| 出版年: | JORDAN JOURNAL OF ELECTRICAL ENGINEERING |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
TAFILA TECHNICAL UNIV (TTU)
2023
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001114780100006 |