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Dynamic Effectiveness of Random Forest Algorithm in Financial Credit Risk Management for Improving Output Accuracy and Loan Classification Prediction
8 references·0 citing·31 second hop
Dynamic Effectiveness of Random Forest Algorithm in Financial Credit Risk Management for Improving Output Accuracy and Loan Classification Prediction (2022)Dynamic Effectiveness of Random Forest Al…Loan default prediction using decision trees and random forest: A comparative study (2021)Loan default prediction using…A Machine Learning Approach for Micro-Credit Scoring (2021)A Machine Learning Approach f…The role of artificial intelligence and big data on loan decisions (2020)The role of artificial intell…A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data (2020)A Comparative Assessment of C…Machine Learning Application In Loan Default Prediction (2018)Machine Learning Application …A novel credit scoring model based on optimized random forest (2018)A novel credit scoring model …A relative evaluation of the performance of ensemble learning in credit scoring (2016)A relative evaluation of the …A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest (2016)A Novel Credit Scoring Predic…Credit risk measurement: Developments over the last 20 years (1997)A new fuzzy support vector machine to evaluate credit risk (2005)Credit scoring with a data mining approach based on support vector machines (2006)Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring (2019)Hybrid Harmony Search–Artificial Intelligence Models in Credit Scoring (2020)The Effects of Tax Changes on Economic Activity: A Narrative Approach to Frequent Anticipations (2022)Credit scoring using ensemble of various classifiers on reduced feature set (2015)Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring (2022)Optimizing Loan Approval Decisions: Harnessing Ensemble Learning for Credit Scoring (2024)Multivariate Normality and Forecasting of Business Bankruptcy (1987)Risk assessment in social lending via random forests (2015)A combined entropy-based approach for a proactive credit scoring (2019)BACS: blockchain and AutoML-based technology for efficient credit scoring classification (2022)Machine learning powered financial credit scoring: a systematic literature review (2025)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)Assessing Credit Card Applications Using Machine Learning (1987)Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science (2023)Credit Risk Prediction using Ensemble Machine Learning Algorithms (2023)Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Gender, Entrepreneurship, and Bank Lending: The Criteria and Processes Used by Bank Loan Officers in Assessing Applications (2007)Neural network earnings per share forecasting models: A comparison of backward propagation and the genetic algorithm (2009)The effects of loan growth on bank performance: Evidence from Vietnam (2019)Credit Risk Analysis Using Machine and Deep Learning Models (2018)A study on predicting loan default based on the random forest algorithm (2019)Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior (2022)Prediction of Loan Behaviour with Machine Learning Models for Secure Banking (2022)An ensemble machine learning based bank loan approval predictions system with a smart application (2023)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Forecasting with artificial neural networks: (1998)Machine learning models and bankruptcy prediction (2017)Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment (2024)
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References

  • 2020A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data124 cited
  • 2021Loan default prediction using decision trees and random forest: A comparative study107 cited
  • 2021A Machine Learning Approach for Micro-Credit Scoring67 cited
  • 2018A novel credit scoring model based on optimized random forest48 cited
  • 2016A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest32 cited
  • 2016A relative evaluation of the performance of ensemble learning in credit scoring20 cited
  • 2020The role of artificial intelligence and big data on loan decisions13 cited
  • 2018Machine Learning Application In Loan Default Prediction12 cited

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