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A Hybrid Credit Scoring Model Using Neural Networks and Logistic Regression · Study

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ChapterA Hybrid Credit Scoring Model Using Neural Networks and Logistic Regression

Lkhagvadorj Munkhdalai2019

Chapter2019

A Hybrid Credit Scoring Model Using Neural Networks and Logistic Regression

Lkhagvadorj Munkhdalai · Jong Yun Lee · Keun Ho Ryu

24 citations·0/0 files stored·Smart innovation, systems and technologies

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Financial Distress and Bankruptcy Prediction Customer churn and segmentation Imbalanced Data Classification Techniques

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References

2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research 2000Neural network credit scoring models 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines 1970A Credit Scoring Model for Commercial Loans 2005Linear and non-linear credit scoring by combining logistic regression and support vector machines

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2021Improved credit scoring model using XGBoost with Bayesian hyper-parameter optimization 2023A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains 2022Two-stage credit scoring using Bayesian approach 2021A Partially Interpretable Adaptive Softmax Regression for Credit Scoring

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2019An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessmentsarticle · 4 shared references 2016A comparative study on base classifiers in ensemble methods for credit scoringarticle · 3 shared references 2020A Comparative Performance Assessment of Ensemble Learning for Credit Scoringarticle · 3 shared references 2021A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methodsarticle · 3 shared references 2018An artificial intelligence system for predicting customer default in e-commercearticle · 3 shared references 2013Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitionsarticle · 3 shared references

Details

Year2019

Typechapter

Published2019-07-09

VenueSmart innovation, systems and technologies

ISSN-L2190-3018

Languageen

Citations24

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/978-981-13-9714-1_27

openalex_workW2957528336

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