发明申请
- 专利标题: Predictive Analytical Modeling Accuracy Assessment
- 专利标题(中): 预测分析建模精度评估
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申请号: US13101040申请日: 2011-05-04
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公开(公告)号: US20120284212A1公开(公告)日: 2012-11-08
- 发明人: Wei-Hao Lin , Travis Green , Robert Kaplow , Gang Fu , Gideon S. Mann
- 申请人: Wei-Hao Lin , Travis Green , Robert Kaplow , Gang Fu , Gideon S. Mann
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 主分类号: G06F15/18
- IPC分类号: G06F15/18
摘要:
A system includes a computer(s) coupled to a data storage device(s) that stores a training function repository and a predictive model repository that includes includes updateable trained predictive models each associated with an accuracy score. A series of training data sets are received, being training samples each having output data that corresponds to input data. The training data is different from initial training data that was used with training functions from the repository to train the predictive models initially. Upon receiving a first training data set included in the series and for each predictive model in the repository, the input data in the first training set is used to generate predictive output data that is compared to the output data. Based on the comparison and previous comparisons determined from the initial training data and from previously received training data sets, an updated accuracy score for each predictive model is determined.
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