Invention Grant
US08423488B2 System and method for building a predictive score without model training
有权
在没有模型训练的情况下建立预测分数的系统和方法
- Patent Title: System and method for building a predictive score without model training
- Patent Title (中): 在没有模型训练的情况下建立预测分数的系统和方法
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Application No.: US12629712Application Date: 2009-12-02
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Publication No.: US08423488B2Publication Date: 2013-04-16
- Inventor: Gabriela Surpi
- Applicant: Gabriela Surpi
- Applicant Address: US MN Minneapolis
- Assignee: Fair Isaac Corporation
- Current Assignee: Fair Isaac Corporation
- Current Assignee Address: US MN Minneapolis
- Agency: Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
- Agent James P. Cleary
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A system and method for building a predictive score without model training are disclosed. A set of predictive variables is defined based on raw data fields generated from raw data from one or more sources and domain knowledge. The raw data includes a historical set of transactions previously generated by one or more raw data sources. An scaled relative risk table to describe each predictive variable of the set of predictive variables is generated. The set of predictive variables is combined based on their associated relative risk tables to generate a predictive score for a future set of transactions.
Public/Granted literature
- US20110131164A1 SYSTEM AND METHOD FOR BUILDING A PREDICTIVE SCORE WITHOUT MODEL TRAINING Public/Granted day:2011-06-02
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