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Loan default prediction using decision trees and random forest: A comparative study
2 references·5 citing·22 second hop
Loan default prediction using decision trees and random forest: A comparative study (2021)Loan default prediction using decision tr…A study on predicting loan default based on the random forest algorithm (2019)A study on predicting loan de…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction (2024)Ensemble-Based Machine Learni…Analyzing the impact of loan features on bank loan prediction using R andom F orest algorithm (2023)Analyzing the impact of loan …An ensemble machine learning based bank loan approval predictions system with a smart application (2023)An ensemble machine learning …Prediction of Loan Behaviour with Machine Learning Models for Secure Banking (2022)Prediction of Loan Behaviour …Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior (2022)Exploitation of Machine Learn…The Estimation of the Lorenz Curve and Gini Index (1972)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Consumer credit-risk models via machine-learning algorithms (2010)Bayesian regularized artificial neural networks for the estimation of the probability of default (2019)Deep learning for credit scoring: Do or don’t? (2021)Corporate finance risk prediction based on LightGBM (2022)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Risk assessment in social lending via random forests (2015)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers (2024)What Is Quantitative Research? An Overview and Guidelines (2024)A credit scoring model for personal loans (1989)Developing Prediction Model of Loan Risk in Banks Using Data Mining (2016)Machine learning in financial forecasting: A U.S. review: Exploring the advancements, challenges, and implications of AI-driven predictions in financial markets (2024)Predicting mortgage default using convolutional neural networks (2018)Finance, investment, and growth (2003)Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning (2022)An Empirical Comparison of Machine Learning Techniques for Bank Loan Approval Prediction (2024)Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning (2024)Deciphering the Liquidity and Credit Crunch 2007–2008 (2009)Correlation Coefficients: Appropriate Use and Interpretation (2018)Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)
this work references cited by second hop

References

  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2019A study on predicting loan default based on the random forest algorithm187 cited

Cited by

  • 2022Prediction of Loan Behaviour with Machine Learning Models for Secure Banking90 cited
  • 2023An ensemble machine learning based bank loan approval predictions system with a smart application80 cited
  • 2022Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior40 cited
  • 2023Analyzing the impact of loan features on bank loan prediction using R andom F orest algorithm32 cited
  • 2024Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction32 cited

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