Zestfinance, Inc.

Lin Song

Jerome Louis Budzik

Sean Javad Kamkar

John Candido

Douglas C Merrill

Michael Edward Ruberry

Ozan Sayin

Derek Wilcox

Yachen Yan

Benjamin Anthony Solecki

Esfandiar Alizadeh

Jiahuan He

Bojan Tunguz

Melanie Eunique DeBruin

Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Explainable machine learning financial credit approval model for protected classes of borrowers

Growing community of inventors

Sugar Land, TX, United States of America

Lin Song