发明申请
- 专利标题: EVALUATING MODELS USING FORECAST ERROR ATTRIBUTION
- 专利标题(中): 使用预测误差归因的评估模型
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申请号: US13187638申请日: 2011-07-21
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公开(公告)号: US20130024160A1公开(公告)日: 2013-01-24
- 发明人: Kaloyan Mihaylov , Timothy J. Breault , Harsh Singhal , Magali F. Van Belle , Wei Wei
- 申请人: Kaloyan Mihaylov , Timothy J. Breault , Harsh Singhal , Magali F. Van Belle , Wei Wei
- 申请人地址: US NC Charlotte
- 专利权人: BANK OF AMERICA CORPORATION
- 当前专利权人: BANK OF AMERICA CORPORATION
- 当前专利权人地址: US NC Charlotte
- 主分类号: G06F15/00
- IPC分类号: G06F15/00
摘要:
Methods, computer readable media, and apparatuses for evaluating models using forecast error attribution are presented. According to one or more aspects, one or more input values corresponding to one or more input variables may be forecast. One or more results of a modeling function may be calculated using the one or more forecasted input values. Thereafter, actual performance data corresponding to the modeling function may be received. One or more holdout values for the modeling function may be calculated using the actual performance data. Subsequently, a graph that includes the one or more results of the modeling function, the actual performance data, and the one or more holdout values for the modeling function may be plotted. In some arrangements, the one or more holdout values for the modeling function may be indicative of one or more assumption errors made with respect to the one or more forecasted input values.
公开/授权文献
- US08682617B2 Evaluating models using forecast error attribution 公开/授权日:2014-03-25
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