Credit scoring

This study focuses on evaluating the impact of access to formal credit on the living standards of rural households in the North Central region of Vietnam. The propensity score matching (PSM) method was used on the Vietnam Household Living Standards Survey (VHLSS) 2020 database to examine this impact.

23p viling 11-10-2024 1 1   Download

This study aims to build a classifier for credit scoring based on deep learning. We use a credit scoring dataset publicly available on the UC Irvine Machine Learning Repository, a source of machine learning datasets commonly used by researchers.

7p viling 11-10-2024 3 1   Download

Two major areas of the scorecard development process were identified as having much capacity for improving credit scoring models. These are the application of 1) better classifiers and 2) variable selection techniques. However, the application of an artificial immune system for developing scorecards as well as the use of other variable selection techniques, other than stepwise regression, in credit scoring are quite limited as indicated by the scarcity of published materials in these two areas in the current literature.

210p runthenight04 02-02-2023 12 2   Download