An Effective Approach for the Prediction of Car Loan Default Based-on Accuracy, Precision, Recall Using Extreme Logistic Regression Algorithm and K-Nearest Neighbors Algorithm on Financial Institution Loan Dataset-Reference-Cited by-同舟云学术

An Effective Approach for the Prediction of Car Loan Default Based-on Accuracy, Precision, Recall Using Extreme Logistic Regression Algorithm and K-Nearest Neighbors Algorithm on Financial Institution Loan Dataset

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber Resilience (ICCR)
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Author:

Reddy Dadithota Jaya Prakash¹,Gunasekaran M.¹,Sundari K.K. Shantha¹

Affiliation:

1. Saveetha University,Department of computer science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9995718/9995732/09995969.pdf?arnumber=9995969

Reference21 articles.

1. Identifying Signals for Loan Default in the Text of Loan Applications;netzer;SSRN Electronic Journal “When Words Sweat,0

2. credit scoring and loan default.” international review of finance. Shan, Chenyu;sengupta;Credit Default Swaps (CDS) and Loan Financing,2015

3. Neural Networks for Prediction of Loan Default Using Attribute Relevance Analysis;jagannatha reddy;2010 International Conference on Signal Acquisition and Processing,0

4. extended loan terms and auto loan default risk;xudong;Federal Reserve Bank of Philadelphia Working Paper,2020

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