Invention Grant
- Patent Title: Risk-based machine learning classsifier
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Application No.: US16261304Application Date: 2019-01-29
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Publication No.: US10586280B2Publication Date: 2020-03-10
- Inventor: Frank J. McKenna , Timothy J. Grace , Gregory Gancarz , Michael J. Kennedy
- Applicant: PointPredictive Inc.
- Applicant Address: US CA San Diego
- Assignee: PointPredictive Inc.
- Current Assignee: PointPredictive Inc.
- Current Assignee Address: US CA San Diego
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N3/02 ; G06Q40/02 ; G06N20/00 ; G06F21/57 ; G06N20/20 ; G06N7/00 ; G06F3/01 ; G06N3/04 ; G06N3/08 ; G10L15/22

Abstract:
The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.
Public/Granted literature
- US20190236484A1 RISK-BASED MACHINE LEARNING CLASSIFIER Public/Granted day:2019-08-01
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