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Modified Average of the Base-Level Models in the Hill-Climbing Bagged Ensemble Selection Algorithm for Credit Scoring
13 references·0 citing·38 second hop
Modified Average of the Base-Level Models in the Hill-Climbing Bagged Ensemble Selection Algorithm for Credit Scoring (2019)Modified Average of the Base-Level Models…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…Ensemble classification based on supervised clustering for credit scoring (2016)Ensemble classification based…A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Classification Restricted Boltzmann Machine for comprehensible credit scoring model (2014)Classification Restricted Bol…An Overview of Personal Credit Scoring: Techniques and Future Work (2012)An Overview of Personal Credi…Decision tree-based technology credit scoring for start-up firms: Korean case (2011)Decision tree-based technolog…Credit scorecard based on logistic regression with random coefficients (2010)Credit scorecard based on log…Hybrid Classifier Using Neighborhood Rough Set and SVM for Credit Scoring (2009)Hybrid Classifier Using Neigh…Consumer credit scoring models with limited data (2008)Consumer credit scoring model…Constructing a reassigning credit scoring model (2007)Constructing a reassigning cr…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine behaviour (2019)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Bankruptcy prediction using fuzzy convolutional neural networks (2021)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers (2018)Utilizing historical data for corporate credit rating assessment (2020)A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)A comparison of neural networks and linear scoring models in the credit union environment (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)What's In A Name? 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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2016Ensemble classification based on supervised clustering for credit scoring160 cited
  • 2008Consumer credit scoring models with limited data130 cited
  • 2014Classification Restricted Boltzmann Machine for comprehensible credit scoring model100 cited
  • 2007Constructing a reassigning credit scoring model80 cited
  • 2012An Overview of Personal Credit Scoring: Techniques and Future Work66 cited
  • 2010Credit scorecard based on logistic regression with random coefficients63 cited
  • 2011Decision tree-based technology credit scoring for start-up firms: Korean case60 cited
  • 2009Hybrid Classifier Using Neighborhood Rough Set and SVM for Credit Scoring28 cited

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