- 专利标题: Predictor neutralization in predictive data analysis systems
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申请号: US16850630申请日: 2020-04-16
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公开(公告)号: US11954603B1公开(公告)日: 2024-04-09
- 发明人: Patrick Ford , Brian Ironside
- 申请人: LIBERTY MUTUAL INSURANCE COMPANY
- 申请人地址: US MA Boston
- 专利权人: LIBERTY MUTUAL INSURANCE COMPANY
- 当前专利权人: LIBERTY MUTUAL INSURANCE COMPANY
- 当前专利权人地址: US MA Boston
- 代理机构: ALSTON & BIRD LLP
- 主分类号: G06N5/02
- IPC分类号: G06N5/02 ; G06N20/00
摘要:
There is a need for more effective and efficient predictive data analysis. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method for generating a neutralized prediction model includes accessing an initial prediction model generated using an initial training data object, performing a randomized shuffling of the initial training data object to generate a shuffled training data object, generating randomized predictions by processing the shuffled training data object using the initial prediction model, performing a neutralization of the initial training data object to generate a neutralized training data object, and generating the neutralized prediction model based at least in part on the neutralized training data object and the randomized predictions.
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