scholarly journals A Comparison of Prediction Methods for Credit Default on Peer to Peer Lending using Machine Learning

2019 ◽  
Vol 157 ◽  
pp. 38-45
Author(s):  
Netty Setiawan ◽  
Suharjito ◽  
Diana
Keyword(s):  
Machine Learning ◽  
Peer To Peer ◽  
Prediction Methods ◽  
Credit Default ◽  
Peer Lending

scholarly journals Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending

TEM Journal ◽  
2021 ◽  
pp. 133-143
Author(s):  
Yanka Aleksandrova
Keyword(s):  
Machine Learning ◽  
Default Risk ◽  
Credit Scoring ◽  
Learning Algorithms ◽  
Peer To Peer ◽  
Machine Learning Algorithms ◽  
Ensemble Classifiers ◽  
Peer Lending ◽  
Official Site ◽  
Heterogeneous Ensemble

The purpose of this research is to evaluate several popular machine learning algorithms for credit scoring for peer to peer lending. The dataset to fit the models is extracted from the official site of Lending Club. Several models have been implemented, including single classifiers (logistic regression, decision tree, multilayer perceptron), homogeneous ensembles (XGBoost, GBM, Random Forest) and heterogeneous ensemble classifiers like Stacked Ensembles. Results show that ensemble classifiers outperform single ones with Stacked Ensemble and XGBoost being the leaders.

scholarly journals Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 64873-64890
Author(s):  
Miller Janny Ariza-Garzon ◽  
Javier Arroyo ◽  
Antonio Caparrini ◽  
Maria-Jesus Segovia-Vargas
Keyword(s):  
Machine Learning ◽  
Peer To Peer ◽  
Scoring Model ◽  
Peer Lending

Friendship in Online Peer-to-Peer Lending: Pipes, Prisms, and Relational Herding

MIS Quarterly ◽  
2015 ◽  
Vol 39 (3) ◽  
pp. 729-742 ◽  
Author(s):  
De Liu ◽  
◽  
Daniel J. Brass ◽  
Yong Lu ◽  
Dongyu Chen ◽  
...  
Keyword(s):  
Peer To Peer ◽  
Peer Lending

Evaluating the risk performance of online peer-to-peer lending platforms in China

2018 ◽  
Vol 12 (2) ◽  
pp. 63-87
Author(s):  
Chong Wu ◽  
Dong Zhang ◽  
Ying Wang
Keyword(s):  
Peer To Peer ◽  
Peer Lending
Sign in / Sign up

Export Citation Format

Share Document