The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 25, 2018

Filed:

Oct. 02, 2017
Applicant:

Fair Isaac Corporation, Roseville, MN (US);

Inventors:

Lu Gao, American Canyon, CA (US);

Brendan Alexander Lacounte, Pacifica, CA (US);

Jane Sherman, San Rafael, CA (US);

Radha Chandra, Berkeley, CA (US);

Erik Franco, Napa, CA (US);

Ethan J. Dornhelm, San Rafael, CA (US);

Assignee:

FAIR ISAAC CORPORATION, Roseville, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01);
U.S. Cl.
CPC ...
G06F 17/5009 (2013.01);
Abstract

Data can be accessed from a plurality of disparate data sources from at least one database. A plurality of test models can be automatically built by a model building engine. Each test model can have predetermined predictive variables. A final set of predictive variables can be determined by a variable selector from the predetermined predictive variables in the plurality of test models by comparing the predictive power of the predictive variables across the plurality of test models. A master dataset can be generated from the disparate data sources. A master model can be built from the master dataset. The master model can combine the final set of predictive variables from the plurality of disparate data sources. The master model can characterize a quantitative estimate of the probability that an entity will display a defined behavior. Related apparatus, systems, techniques, and articles are also described.


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