An application of locally linear model tree algorithm with combination of feature selection in credit scoring

DOI10.1080/00207721.2013.767395zbMath1317.91056OpenAlexW1966780919MaRDI QIDQ5499826

Javad Basiri, Mohammad Siami, Mohammad Reza Gholamian

Publication date: 31 July 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.767395

zbMATH Keywords

classificationcredit scoringfinance and bankinglocally linear model tree

Mathematics Subject Classification ID

Economic models of real-world systems (e.g., electricity markets, etc.) (91B74) Credit risk (91G40)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms
• Neural network credit scoring models
• Mining the customer credit using classification and regression tree and multivariate adaptive regression splines
• Neural network ensemble strategies for financial decision applications
• Credit Scoring and Its Applications
• Assessing naïve Bayes as a method for screening credit applicants
• Validating risk models with a focus on credit scoring models

This page was built for publication: An application of locally linear model tree algorithm with combination of feature selection in credit scoring