Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector-Reference-Cited by-同舟云学术

Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector

Published:2023-02-23 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Hegde Sandeep Kumar¹,Hegde Rajalaxmi¹,R Krishna Priya²,S Sree Southry³,Marthanda A.V.G.A.⁴^ORCID,Logu K.⁵

Affiliation:

1. NMAM Institute of Technology, Nitte (Deemed to be University) Karkala Taluk,Department of Computer Science and Engineering,Udupi District,India

2. University of Technology and Applied Sciences Shinas campus,Department of Engineering Electrical Section,Oman

3. Sona College of Technology,Department of ECE,Salem,India

4. LakiReddy BaliReddy college of Engineering, Mylavaram Permanently affiliated to JNTU,Department of EEE,Kakinada,Andhrapradesh,India

5. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10083318/10083503/10083580.pdf?arnumber=10083580

Reference16 articles.

1. Credit Risk Prediction Based on Machine Learning Methods

2. A study on predicting loan default based on the random forest algorithm

3. Bank Loan Prediction System using Machine Learning

4. Loan Default Forecasting using Data Mining

5. Prediction of loan risk using naïve bayes and support vector machine;vimala;International Conference on Advancements in Computing Technologies,0

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