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1.发明公开公开(公告)号：US20230359941A1
公开(公告)日：2023-11-09
申请号：US17739716
申请日：2022-05-09
发明人： Dong Hai Yu , Jun Wang , Bo Song , Yao Dong Liu , Jiang Bo Kang , Lei Tian , XING WEI
CPC分类号： G06N20/20 , G06Q20/4016
摘要： A computer-implemented system, platform, programing product, and/or method for improving transformation selection in an ensemble machine learning (ML) model that includes: providing all base ML models of the ensemble ML model; identifying all of a plurality of Derived Fields in all the base ML models; performing a Derived Field run prediction analysis for all the Derived Fields; computing the Derived Field Importance Weight for Field (DFIW4F) and the Derived Field Importance Weight for Model (DFIW4M) for all the Derived Fields; clustering all the Derived Fields into a plurality of Derived Field clusters, wherein each Derived Field cluster is based upon the DFIW4M and the DFIW4F for the Derived Field; sorting all the Derived Field clusters by best cluster based upon DFIW4M and DFIW4F; and running the base ML models based upon the Derived Fields in the best Derived Field cluster until sufficient base ML models have been run.
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公开(公告)号：US20230132789A1
公开(公告)日：2023-05-04
申请号：US17519156
申请日：2021-11-04
发明人： Dong Hai Yu , Jing Xu , Jun Wang , XING WEI , Lei Tian , Yao Dong Liu
IPC分类号： G06N20/20
摘要： Embodiments of the present disclosure relate to methods, systems, and computer program products for optimized prediction of a tree ensemble. According to a method, an input request is received, which indicates a plurality of input values for a plurality of variables associated with a tree ensemble. A plurality of target transformed intervals, into which the plurality of input values fall respectively, are determined by matching the plurality of input values with a plurality of sets of transformed intervals for the plurality of variables respectively. Respective prediction results for a plurality of tree models of the tree ensemble are determined based on the plurality of target transformed intervals and respective node hierarchies of the plurality of tree models. A tree ensemble prediction result is determined for the input request based on the determined prediction results of the plurality of tree models.
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公开(公告)号：US20210081767A1
公开(公告)日：2021-03-18
申请号：US16574163
申请日：2019-09-18
发明人： Damir Spisic , Jing Xu , Xue Ying Zhang , XING WEI
摘要： A set of classifiable data containing a plurality of classes is ingested. A target class within the plurality of classes is determined. Using the set of classifiable data, an interactive recall rate chart is generated, and the interactive recall rate chart shows a set of target class recall rates against a set of class recall rates for the remainder of the plurality of classes. The interactive recall rate chart is presented to a user. A target class recall rate selection from the set of target class recall rates is received from the user. The set of classifiable data is reclassified, based on the target class recall rate selection.
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