LOGISTICREGRESSION

作品数：4被引量：4H指数：2
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相关机构：福建师范大学更多>>
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基于改进的Tomek Link方法预测电信客户流失
《运筹与模糊学》2024年第3期843-851,共9页郑诗滢 
为提高电信客户流失检测的准确性和效率,提出了一综合方法。首先应用XGB-RFE方法对特征进行筛选,以选择最相关的特征,其次采用基于分层交叉验证框架下的数据平衡技术,来处理不平衡数据。通过这两种方法的综合应用,旨在提高模型性能和可...
关键词：TomekLink LOGISTICREGRESSION XGB-RFE TabNet 客户流失 
Public priorities and consumer preferences for selected attributes of automated vehicles被引量：2
《Journal of Modern Transportation》2018年第1期72-79,共8页Paulina Lustgarten Scott Le Vine 
SUNY New Paltz’s SURE program for financial support;support of the University Transportation Research Center,Region 2(Grant#49997-53-25,titled:Empirical Aspects of Autonomous Cars)
Public opinion and consumer preferences are among the various constraints on the rollout of automated cars, as they will affect the decision-making of both automotive industry actors and public-sector regulators. This...
关键词：Automated car Stated-preference LOGISTICREGRESSION 
Multinomial Logistic Regression Model for Predicting Driver＇s Drowsiness Using Only Behavioral Measures
《Journal of Traffic and Transportation Engineering》2015年第2期80-90,共11页Atsuo Murata Kensuke Naitoh 
The aim of this study was to explore the effectiveness of behavioral evaluation measures for predicting drivers＇ subjective drowsiness. Behavioral measures included neck bending angle, back pressure, foot pressure, C...
关键词：Drowsy driving traffic accident physiological measures behavioral measures prediction accuracy multinomial logisticregression subjective drowsiness. 
DATA DRIVEN MODELING FOR POWER TRANSFORMER LIFESPAN EVALUATION被引量：2
《Journal of Systems Science and Systems Engineering》2014年第1期80-93,共14页Charles V.TRAPPEY Amy J.C.TRAPPEY Lin MA Wan-Ting TSAO 
the research support granted by Taiwan's National Science Council and the Australian Government's Cooperative Research Centers Program
Large sized power transformers are important parts of the power supply chain. These very critical networks of engineering assets are an essential base of a nation＇s energy resource infrastructure. This research ident...
关键词：Condition based maintenance （CBM） prognostics and health management （PHM） LOGISTICREGRESSION remaining life prediction sustainable engineering asset management 
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