Recent years, the macroeconomic situation divulged a complex of problems in the quickly
developing system of mortgage lending in Russia–the fall in the cost of property pledge, a …

BACKGROUND Machine learning models undergo a life cycle comprising steps such as:
data preparation, model development, model testing, business analysis and risk …

7,711,635 B2 5/2010 Steele et al. 7,765,151 B1 7/2010 Williams et al. 7,813,945 B2 10/2010
Bonissone et al. 7,873,535 B2 1/2011 Umblijs et al. 7,873,570 B2 1/2011 Cagan et al …

Целью статьи является теоретическое обоснование необходимости модернизации
существующих и разработка новых направлений совершенствования системы …

BACKGROUND There is a need in the modeling system field to improve fairness in
predictive models. In the field of credit risk modeling, where machine learning models are …

Актуальность статьи обусловлена тем, что система ипотечного кредитования
способствует формированию конкурентоспособной экономики, ее стабилизации и …

BACKGROUND There is a need in the modeling system field to improve fairness in
predictive models. In the field of credit risk modeling, where machine learning models are …

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 …

Abstract 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 …

Methods, non-transitory computer readable media, and model evaluations systems for
understanding diverse machine learning models (MLMs) are disclosed. In some examples …