公开(公告)号：US10896388B2

公开(公告)日：2021-01-19

申请号：US16221416

申请日：2018-12-14

申请人： Kyler Cooper ,  Jessica Emily Dolezal ,  Andrew Duguay ,  Alexander C. Elek ,  Danielle Marceau ,  Richard Wagner

发明人： Kyler Cooper ,  Jessica Emily Dolezal ,  Andrew Duguay ,  Alexander C. Elek ,  Danielle Marceau ,  Richard Wagner

IPC分类号： G06Q10/04 ,  G06N20/00 ,  G06Q10/06

摘要： The present invention relates to systems and methods for model generation. The model is generated by selecting indicators that are relevant to the model, determining a strength score for each of the indicators, ranking the indicators by their strength scores, and bucketizing the indicators. Different permutations of the indicators are then selected for modeling in parallel. The model results are compared, and the ‘best’ model (most historically accurate) is selected for display within a report.

公开(公告)号：US20190188612A1

公开(公告)日：2019-06-20

申请号：US16221416

申请日：2018-12-14

申请人： Kyler Cooper ,  Jessica Emily Dolezal, II ,  Andrew Duguay ,  Alexander C. Elek ,  Danielle Marceau ,  Richard Wagner

发明人： Kyler Cooper ,  Jessica Emily Dolezal, II ,  Andrew Duguay ,  Alexander C. Elek ,  Danielle Marceau ,  Richard Wagner

IPC分类号： G06Q10/04 ,  G06Q10/06 ,  G06N20/00

CPC分类号： G06Q10/04 ,  G06N20/00 ,  G06Q10/063 ,  G06Q10/067

摘要： The present invention relates to systems and methods for model generation. The model is generated by selecting indicators that are relevant to the model, determining a strength score for each of the indicators, ranking the indicators by their strength scores, and bucketizing the indicators. Different permutations of the indicators are then selected for modeling in parallel. The model results are compared, and the ‘best’ model (most historically accurate) is selected for display within a report