基于此提出改进的网格搜索法优化XGBoost (GS-XGBoost)的个人信用评估算法. 该算法利用随机森林进行特征选择后, 将改进的网格搜索法对XGBoost 中的n_estimators 和learning_rate 进行参数寻优, 建立评估模型. 从UCI 数据库中选取信贷数据进行分析, 分别与支持向量机、随机森林、逻辑回归、神经网络以及未改进的XGBoost 进...
The article titled "Prediction of Transmission Line Icing Using Machine Learning Based on GS-XGBoost" has been retracted by Hindawi due to evidence of systematic manipulation of the publication process. The investigation revealed discrepancies in scope, description of the research, availab...
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金融界 2025 年 1 月 15 日消息,国家知识产权局信息显示,国网河南省电力公司信息通信分公司申请一项名为“一种基于贝叶斯优化与 XGBoost 的电缆状态评估方法”的专利,公开号 CN 119293625 A,申请日期为 2024 年 8 月。 专利摘要显示,本发明公开了一种基于贝叶斯优化与 XGBoost 的电缆状态评估方法,该方法在 XGBoos...
Finally, the performance of GS-XGBoost is evaluated using a test set (30% of the data). For multiline, cross-regional icing data, our experimental results show that GS-XGBoost outperforms other machine learning methods in terms of accuracy, precision, recall, and F 1 score.Ma...
Compared with the traditional empirical method, the proposed GS-XGBoost model can predict whether the current drilling fluid can achieve the best effect of ROP-increasement quickly and accurately, providing a reference for the optimal design of drilling fluid formulation and the prevention of lost ...
Finally, the calculation results of three indexes of average relative error, square root error and correlation coefficient indicate that the proposed PSO-XGBoost model is significantly better than GS-XGBoost and standard XGBoost, with its prediction accuracy as high as 97.6 %. ...
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