RULES/MODEL-BASED DATA PROCESSING SYSTEM FOR INTELLIGENT DEFAULT RISK PREDICTION

An embodiment includes executing a machine learning risk prediction model representing a set of credit report data features and a default label space associated with transactions via a data processing system; receiving a request to approve an electronic application for a user; storing credit report...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Boren, David Scott, Dalinina, Ruslana, Nguyen, David Luan, Ashpis, Gilad Meron
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An embodiment includes executing a machine learning risk prediction model representing a set of credit report data features and a default label space associated with transactions via a data processing system; receiving a request to approve an electronic application for a user; storing credit report data for the user in a user record; extracting a set of credit report data attributes from the user record; creating a feature vector comprising features representing the set of credit report data attributes extracted from the user record; determining a predicted default risk score for the user, comprising processing the feature vector using the machine learning risk prediction model; and updating the first user record for the first user by adding the predicted default risk score to the first user record, wherein the predicted default risk score is used by a data processing system to control an online application approval process.