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Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection
8 references·9 citing·45 second hop
Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection (2018)Credit Scoring Model based on Weighted Vo…A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)A new hybrid ensemble credit …The effect of feature selection on financial distress prediction (2014)The effect of feature selecti…Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Genetic algorithm-based heuri…Two credit scoring models based on dual strategy ensemble trees (2011)Two credit scoring models bas…Neighborhood rough set and SVM based hybrid credit scoring classifier (2011)Neighborhood rough set and SV…A hybrid approach to integrate genetic algorithm into dual scoring model in enhancing the performance of credit scoring model (2011)A hybrid approach to integrat…Subagging for credit scoring models (2009)Subagging for credit scoring …What's the point of credit scoring? (1997)What's the point of credit sc…Machine learning powered financial credit scoring: a systematic literature review (2025)Machine learning powered fina…A Machine Learning Framework towards Bank Telemarketing Prediction (2022)A Machine Learning Framework …Experimental analysis of machine learning methods for credit score classification (2021)Experimental analysis of mach…Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey (2021)Credit Scoring Models Using E…Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms (2021)Credit Decision Support Based…Comparison of Different Ensemble Methods in Credit Card Default Prediction (2021)Comparison of Different Ensem…A multi-level classification and modified PSO clustering based ensemble approach for credit scoring (2021)A multi-level classification …A Novel GSCI-Based Ensemble Approach for Credit Scoring (2020)A Novel GSCI-Based Ensemble A…A combined entropy-based approach for a proactive credit scoring (2019)A combined entropy-based appr…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit risk measurement: Developments over the last 20 years (1997)The Effect of Credit Scoring on Small-Business Lending (2001)Foreign Bank Entry: Experience, Implications for Developing Economies, and Agenda for Further Research (2003)Borrower–lender distance, credit scoring, and loan performance: Evidence from informational-opaque small business borrowers (2007)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Neural network credit scoring models (2000)Credit scoring using the hybrid neural discriminant technique (2002)An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification (2019)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Genetic algorithms for credit scoring: Alternative fitness function performance comparison (2014)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Research design and statistical analysis (2011)Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)COVID-19 and stock market volatility: An industry level analysis (2020)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative study of classifier ensembles for bankruptcy prediction (2014)A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)A comparative study on base classifiers in ensemble methods for credit scoring (2016)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Classifiers consensus system approach for credit scoring (2016)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. (2012)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring (2018)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)A Comparative Performance Assessment of Ensemble Learning for Credit Scoring (2020)A comparative assessment of ensemble learning for credit scoring (2010)Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment (2022)Optimal cost-sensitive credit scoring using a new hybrid performance metric (2022)Research on significant factors affecting adoption of blockchain technology for enterprise distributed applications based on integrated MCDM FCEM-MULTIMOORA-FG method (2022)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)
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References

  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 1997What's the point of credit scoring?311 cited
  • 2011Two credit scoring models based on dual strategy ensemble trees244 cited
  • 2014The effect of feature selection on financial distress prediction234 cited
  • 2009Subagging for credit scoring models213 cited
  • 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
  • 2011Neighborhood rough set and SVM based hybrid credit scoring classifier98 cited
  • 2011A hybrid approach to integrate genetic algorithm into dual scoring model in enhancing the performance of credit scoring model93 cited

Cited by

  • 2019A combined entropy-based approach for a proactive credit scoring40 cited
  • 2025Machine learning powered financial credit scoring: a systematic literature review38 cited
  • 2021Experimental analysis of machine learning methods for credit score classification38 cited
  • 2021Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey38 cited
  • 2021Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms35 cited
  • 2021A multi-level classification and modified PSO clustering based ensemble approach for credit scoring

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26 cited
  • 2022A Machine Learning Framework towards Bank Telemarketing Prediction25 cited
  • 2020A Novel GSCI-Based Ensemble Approach for Credit Scoring24 cited
  • 2021Comparison of Different Ensemble Methods in Credit Card Default Prediction17 cited