Explainable prediction of loan default based on machine learning models

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

Yufei Xia, Chuanzhe Liu, Yuying Li et al. · Expert Systems with Applications · 2017 · 738 citations

Credit Score, Engineering, Machine Learning +13

Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending

Riza Emekter, Yanbin Tu, Benjamas Jirasakuldech et al. · Applied Economics · 2014 · 480 citations

Loan Performance, Economics, Fintech +15

Predictably Unequal? The Effects of Machine Learning on Credit Markets

Andreas Fuster, Paul Goldsmith-Pinkham, Tarun Ramadorai et al. · The Journal of Finance · 2021 · 385 citations · Full text

Machine Learning, Financial Data, Machine Learning Models +17

Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

Ali Shehadeh, Odey Alshboul, Rabia Emhamed Al Mamlook et al. · Automation in Construction · 2021 · 376 citations

Construction Technology, Engineering, Machine Learning +13

Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

Deliang Sun, Jiahui Xu, Haijia Wen et al. · Engineering Geology · 2020 · 350 citations

Geotechnical Engineering, Rock Slide, Engineering +12