发明授权
- 专利标题: Systems and methods for optimizing performance of machine learning model generation
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申请号: US16168303申请日: 2018-10-23
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公开(公告)号: US11494587B1公开(公告)日: 2022-11-08
- 发明人: Dhurai Ganesan , Aananthanarayanan Pandian , Tanvir Khan
- 申请人: NTT DATA Services, LLC
- 申请人地址: US TX Plano
- 专利权人: NTT DATA Services, LLC
- 当前专利权人: NTT DATA Services, LLC
- 当前专利权人地址: US TX Plano
- 代理机构: Shackelford, Bowen, McKinley & Norton, LLP
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06N20/00
摘要:
In an embodiment, a method includes receiving a trigger of machine learning model generation. In addition, the method includes algorithmically eliminating at least some of rows and at least some of columns of a training dataset, the algorithmically eliminating yielding a size-reduced training dataset. The method additionally includes generating, for a prediction target, a plurality of machine learning models via a plurality of machine learning algorithms. The method also includes measuring prediction accuracies of the plurality of machine learning models relative to the prediction target. Furthermore, the method includes selecting a particular machine learning model. Moreover, the method includes applying the particular machine learning model to a data source.
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