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:
Aug. 08, 2023

Filed:

Nov. 24, 2021
Applicant:

Zestfinance, Inc., Burbank, CA (US);

Inventors:

Sean Javad Kamkar, Los Angeles, CA (US);

Geoffrey Michael Ward, Los Angeles, CA (US);

Jerome Louis Budzik, Los Angeles, CA (US);

Assignee:

ZESTFINANCE, INC., Burbank, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 20/00 (2012.01); G06Q 40/03 (2023.01); G06N 20/00 (2019.01); G06F 18/243 (2023.01);
U.S. Cl.
CPC ...
G06Q 40/03 (2023.01); G06F 18/24323 (2023.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for generating tree-based models with improved fairness are disclosed. The disclosed process generates a first tree-based machine learning model, which is preferably trained to predict if a financial loan will be repaid. The process also determines an accuracy of the first tree-based machine learning mode. In addition, the process determines a fairness of the first tree-based machine learning model. The fairness is preferably associated with at least one of gender, race, ethnicity, age, marital status, military status, sexual orientation, and disability status. The process then generates a second different tree-based machine learning model, which is preferably trained based on the accuracy of the first tree-based machine learning model and the fairness of the first tree-based machine learning model. The process then combines the first tree-based machine learning model and the second tree-based machine learning model to produce a gradient-boosted machine learning model.


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