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Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods
12 references·0 citing·41 second hop
Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods (2021)Feature selection based on machine learni…Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control (2020)Improved ML-Based Technique f…Credit Risk Assessment based on Gradient Boosting Decision Tree (2020)Credit Risk Assessment based …A study on credit scoring modeling with different feature selection and machine learning approaches (2020)A study on credit scoring mod…A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)A novel tree-based dynamic he…A multi-objective approach for profit-driven feature selection in credit scoring (2019)A multi-objective approach fo…A combined entropy-based approach for a proactive credit scoring (2019)A combined entropy-based appr…A hybrid deep learning model for consumer credit scoring (2018)A hybrid deep learning model …Missing Data Imputation Methods and Their Performance With Biodistance Analyses (2016)Missing Data Imputation Metho…Credit scoring with a feature selection approach based deep learning (2016)Credit scoring with a feature…Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring (2015)Combination of Feature Select…Credit scoring by feature-weighted support vector machines (2013)Credit scoring by feature-wei…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Support vector machines for credit scoring and discovery of significant features (2008)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Biological anthropology of the human skeleton (2002)Metric Analysis of Skeletal Remains: Methods and Applications (2007)Introducing Human Mandible Identification [(hu)MANid]: A Free, Web‐Based GUI to Classify Human Mandibles (2017)Population history of southern Italy during Greek colonization inferred from dental remains (2019)Inferring human neutral genetic variation from craniodental phenotypes (2023)Credit risk measurement: Developments over the last 20 years (1997)Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Credit Decision Support Based on Real Set of Cash Loans Using Integrated Machine Learning Algorithms (2021)RETRACTED: Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia (2021)Artificial intelligence applications in finance: a survey (2023)Recent developments in consumer credit risk assessment (2007)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A novel deep ensemble model for imbalanced credit scoring in internet finance (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)Enhancing transparency and fairness in automated credit decisions: an explainable novel hybrid machine learning approach (2024)Credit Scoring and Its Applications (2002)A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment (2021)A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network (2022)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)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)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Credit Rationing in Markets with Imperfect Information (1981)A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction (2021)Credit scoring methods: Latest trends and points to consider (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Decision Tree and AHP Methods Application for Projects Assessment: A Case Study (2021)Machine Learning Models for Predicting Bank Loan Eligibility (2022)Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers (2024)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)
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References

  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited
  • 2020A study on credit scoring modeling with different feature selection and machine learning approaches135 cited
  • 2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring109 cited
  • 2020Credit Risk Assessment based on Gradient Boosting Decision Tree94 cited
  • 2018A hybrid deep learning model for consumer credit scoring75 cited
  • 2016Credit scoring with a feature selection approach based deep learning55 cited
  • 2016Missing Data Imputation Methods and Their Performance With Biodistance Analyses54 cited
  • 2019A combined entropy-based approach for a proactive credit scoring40 cited
  • 2013Credit scoring by feature-weighted support vector machines30 cited
  • 2020Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control27 cited
  • 2015Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring25 cited

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