Estimation of optimum thresholds for binary classification using genetic algorithm: An application to solve a credit scoring problem-Reference-Cited by-同舟云学术

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Estimation of optimum thresholds for binary classification using genetic algorithm: An application to solve a credit scoring problem

Published:2022-12-02 Issue:3 Volume:40 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Kazemi Hamid Reza¹^ORCID,Khalili‐Damghani Kaveh²^ORCID,Sadi‐Nezhad Soheil³^ORCID

Affiliation:

1. Department of System and Industrial Engineering Industrial Management Institute Tehran Iran

2. Department of Industrial Engineering South‐Tehran Branch, Islamic Azad University Tehran Iran

3. Department of Statistics and Actuarial Science University of Waterloo Waterloo Ontario Canada

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13203

Reference70 articles.

1. Neural nets versus conventional techniques in credit scoring in Egyptian banking

2. An evaluation of alternative scoring models in private banking

3. Genetic programming for credit scoring: The case of Egyptian public sector banks

4. Credit scoring and decision making in Egyptian public sector banks

5. Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach;Mathematics;2023-09-25

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