Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study
The control of credit risk is an important topic in the development of supply chain finance.
Financial service providers should distinguish between low-and high-quality customers to …
Financial service providers should distinguish between low-and high-quality customers to …
A hybrid metaheuristic optimised ensemble classifier with self organizing map clustering for credit scoring
Credit scoring is a mathematical and statistical tool that aids financial institutions in deciding
suitable candidates for the issuance of loans, based on the analysis of the borrower's …
suitable candidates for the issuance of loans, based on the analysis of the borrower's …
Prediction and Classification of Patients Length of Stay in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria
The objective of this paper was to predict and classify the attributes that influences patients
Length of Stay (LOS) in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern …
Length of Stay (LOS) in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern …
[HTML][HTML] Multilayer Perceptron Classification Enhancement in Credit Scoring Using Self-Organizing Map
A Ibrahim, BN Akintewe, OV Akinremi - sustaine.org
Abstract Mathematics appears to be a particularly dreaded subject in our schools. The
majority of individuals, regardless of age or gender, believe they have no connection with …
majority of individuals, regardless of age or gender, believe they have no connection with …
[PDF][PDF] Improving Credit Scoring Performance using Two-Stage Technique
I Anas, SO Olagunju - Abacus (Mathematics Science Series), 2022 - man-nigeria.org.ng
In this study an unsupervised learning based on Self-Organizing Map (SOM) was used to
specifically improve the discriminant capabilities of Classification And Regression Trees …
specifically improve the discriminant capabilities of Classification And Regression Trees …