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:
May. 05, 2020

Filed:

Sep. 21, 2017
Applicant:

Equifax Inc., Atlanta, GA (US);

Inventors:

Trevis J. Litherland, Cumming, GA (US);

Li Hao, Mesa, AR (US);

Rajkumar Bondugula, Marietta, GA (US);

Assignee:

Equifax Inc., Atlanta, GA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/00 (2006.01); G06N 20/10 (2019.01); G06N 5/00 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/005 (2013.01); G06N 3/08 (2013.01); G06N 5/003 (2013.01); G06N 20/10 (2019.01);
Abstract

In some aspects, a machine-learning model, which can transform input attribute values into a predictive or analytical output value, can be trained with training data grouped into attributes. A subset of the attributes can be selected and transformed into a transformed attribute used for training the model. The transformation can involve grouping portions of the training data for the subset of attributes into respective multi-dimensional bins. Each dimension of a multi-dimensional bin can correspond to a respective selected attribute. The transformation can also involve computing interim predictive output values. Each interim predictive output value can be generated from a respective training data portion in a respective multi-dimensional bin. The transformation can also involve computing smoothed interim output values by applying a smoothing function to the interim predictive output values. The transformation can also involve outputting the smoothed interim output values as a dataset for the transformed attribute.


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