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Analyzing the impact of loan features on bank loan prediction using R andom F orest algorithm
9 references·0 citing·29 second hop
Analyzing the impact of loan features on bank loan prediction using R andom F orest algorithm (2023)Analyzing the impact of loan features on …LOAN APPROVAL PREDICTION BASED ON MACHINE LEARNING APPROACH (2022)LOAN APPROVAL PREDICTION BASE…Loan default prediction using decision trees and random forest: A comparative study (2021)Loan default prediction using…Machine learning predictivity applied to consumer creditworthiness (2020)Machine learning predictivity…Bank Loan Prediction System using Machine Learning (2020)Bank Loan Prediction System u…An Approach for Prediction of Loan Approval using Machine Learning Algorithm (2020)An Approach for Prediction of…Application of Machine Learning in Credit Risk Assessment: A Prelude to Smart Banking (2019)Application of Machine Learni…A study on predicting loan default based on the random forest algorithm (2019)A study on predicting loan de…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)Study on a prediction of P2P …Predicting mortgage default using convolutional neural networks (2018)Predicting mortgage default u…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Machine learning models and bankruptcy prediction (2017)Bitcoin technical trading with artificial neural network (2018)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market (2015)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)A new fuzzy support vector machine to evaluate credit risk (2005)Consumer credit-risk models via machine-learning algorithms (2010)Credit Risk Analysis Using Machine and Deep Learning Models (2018)Swindle: Predicting the Probability of Loan Defaults using CatBoost Algorithm (2021)A review of Artificial Intelligence approach for credit risk assessment (2022)Risk assessment in social lending via random forests (2015)Prediction of Loan Behaviour with Machine Learning Models for Secure Banking (2022)What Is Quantitative Research? An Overview and Guidelines (2024)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A comparative assessment of ensemble learning for credit scoring (2010)Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)Machine learning powered financial credit scoring: a systematic literature review (2025)Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms (2022)Customer Loan Eligibility Prediction using Machine Learning Algorithms in Banking Sector (2022)Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data (2024)Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior (2022)An ensemble machine learning based bank loan approval predictions system with a smart application (2023)Intelligent Loan Eligibility and Approval System based on Random Forest Algorithm using Machine Learning (2023)A Comparative Analysis for Loan Approval Prediction using Machine Learning (2024)
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References

  • 2018Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning444 cited
  • 2019A study on predicting loan default based on the random forest algorithm187 cited
  • 2018Predicting mortgage default using convolutional neural networks181 cited
  • 2020An Approach for Prediction of Loan Approval using Machine Learning Algorithm153 cited
  • 2021Loan default prediction using decision trees and random forest: A comparative study107 cited
  • 2022LOAN APPROVAL PREDICTION BASED ON MACHINE LEARNING APPROACH81 cited
  • 2020Bank Loan Prediction System using Machine Learning61 cited
  • 2019Application of Machine Learning in Credit Risk Assessment: A Prelude to Smart Banking50 cited
  • 2020Machine learning predictivity applied to consumer creditworthiness39 cited

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