Invention Grant
- Patent Title: Systems and methods for generating gradient-boosted models with improved fairness
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Application No.: US18366413Application Date: 2023-08-07
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Publication No.: US12002094B2Publication Date: 2024-06-04
- Inventor: Sean Javad Kamkar , Geoffrey Michael Ward , Jerome Louis Budzik
- Applicant: ZestFinance, Inc.
- Applicant Address: US CA Burbank
- Assignee: ZestFinance, Inc.
- Current Assignee: ZestFinance, Inc.
- Current Assignee Address: US CA Burbank
- Agency: Troutman Pepper Hamilton Sanders LLP
- Agent Christopher J. Forstner; Nicholas J. Gallo
- Main IPC: G06Q20/00
- IPC: G06Q20/00 ; G06F18/243 ; G06N20/00 ; G06Q40/03

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.
Public/Granted literature
- US20230377037A1 SYSTEMS AND METHODS FOR GENERATING GRADIENT-BOOSTED MODELS WITH IMPROVED FAIRNESS Public/Granted day:2023-11-23
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