发明名称 |
Predictive Model Evaluation and Training Based on Utility |
摘要 |
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a plurality of different types of predictive models using training data, wherein each of the predictive models implements a different machine learning technique. One or more weights are obtained wherein each weight is associated with an answer category in the plurality of examples. A weighted accuracy is calculated for each of the predictive models using the one or more weights. |
申请公布号 |
US2015186800(A1) |
申请公布日期 |
2015.07.02 |
申请号 |
US201414526926 |
申请日期 |
2014.10.29 |
申请人 |
Google Inc. |
发明人 |
Kaplow Robert;Lin Wei-Hao;Mann Gideon S.;Green Travis H.K.;Fu Gang;Haertel Robbie A. |
分类号 |
G06N99/00;G06N5/04 |
主分类号 |
G06N99/00 |
代理机构 |
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代理人 |
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主权项 |
1. A computer-implemented method, the method comprising:
obtaining training data comprising a plurality of examples wherein each example comprises one or more features and an answer; training a plurality of different types of predictive models using the training data, wherein each of the predictive models implements a different machine learning technique; obtaining one or more weights wherein each weight is associated with an answer category in the plurality of examples; calculating a weighted accuracy for each of the predictive models using the one or more weights; and selecting one of the predictive models as a most accurate model based at least partly on the calculated weighted accuracies. |
地址 |
Mountain View CA US |