发明授权
- 专利标题: Uplift modeling
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申请号: US17483328申请日: 2021-09-23
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公开(公告)号: US11562400B1公开(公告)日: 2023-01-24
- 发明人: Jing Xu , Si Er Han , Xue Ying Zhang , Steven George Barbee , Ji Hui Yang
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Patterson + Sheridan, LLP
- 主分类号: G06Q30/02
- IPC分类号: G06Q30/02 ; G06K9/62 ; G06N20/00
摘要:
A method includes training a plurality of different types of machine learning models using a training dataset to produce a set of trained machine learning models and determining a lift of each trained machine learning model in the set of trained machine learning models using a validation dataset. The method also includes selecting a trained machine learning model from the set of trained machine learning models that has a highest lift of the set of trained machine learning models and predicting a likelihood that a person will perform an action by applying the selected trained machine learning model to data about the person.
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