SentiNet: Empowering Robust Loan Default Prediction through Ensemble Modeling-Reference-Cited by-同舟云学术

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SentiNet: Empowering Robust Loan Default Prediction through Ensemble Modeling

Published:2023-12-10 Issue: Volume:32 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)
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Author:

Pathak Prakrit¹,Jain Akash¹,Bansal Mohit¹,Rana Prashant Singh²

Affiliation:

1. IIIT-Delhi,CSE Department,Delhi,India

2. Madhav Institute of Technology and Science,IT Department,Gwalior,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464390/10464398/10464518.pdf?arnumber=10464518

Reference13 articles.

1. Loan Default Prediction using Logistic Regression and Decision Trees;Doe;Journal of Banking and Finance,2015

2. Ensemble Methods for Loan Default Prediction;Smith;International Journal of Data Science and Analytics,2017

3. Comparison of Machine Learning Techniques for Loan Default Prediction;Chen;Expert Systems with Applications,2018

4. Feature Selection and Loan Default Prediction: A Comparative Study;Zhang;Journal of Computational Science,2019

5. Hybrid Ensemble Learning Model for Loan Default Pre-diction;Li;IEEE Transactions on Neural Networks and Learning Systems,2019

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