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A Better Comparison Summary of Credit Scoring Classification
15 references·3 citing·36 second hop
A Better Comparison Summary of Credit Scoring Classification (2017)A Better Comparison Summary of Credit Sco…A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)A new hybrid ensemble credit …Vertical bagging decision trees model for credit scoring (2010)Vertical bagging decision tre…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Neural nets versus convention…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Neural network credit scoring models (2000)Neural network credit scoring…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Issues in the Contingent Valuation of Environmental Goods: Methodologies for Data Collection and Analysis (1993)Issues in the Contingent Valu…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Machine-learning algorithms for credit-card applications (1992)Machine-learning algorithms f…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending (2021)An implementation of ensemble…Using data mining approaches to build credit scoring model: Case study — Implementation of credit scoring model in microfinance institution (2018)Using data mining approaches …Deep Learning for Distribution Channels' Management (2017)Deep Learning for Distributio…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Comparative analysis of data mining methods for bankruptcy prediction (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring using the clustered support vector machine (2014)Econometric Models and Economic Forecasts (1990)Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)Applied Linear Statistical Models. (1975)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A new fuzzy support vector machine to evaluate credit risk (2005)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Recent developments in consumer credit risk assessment (2007)'It's Reducing a Human Being to a Percentage' (2018)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Forecasting exchange rates using general regression neural networks (2000)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
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References

  • 2000Neural network credit scoring models1,032 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2002Credit Scoring and Its Applications669 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 2007Neural nets versus conventional techniques in credit scoring in Egyptian banking168 cited
  • 1993Issues in the Contingent Valuation of Environmental Goods: Methodologies for Data Collection and Analysis164 cited
  • 2010Vertical bagging decision trees model for credit scoring163 cited
  • 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
  • 1992Machine-learning algorithms for credit-card applications128 cited

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  • 2004Neural network ensemble strategies for financial decision applications19 cited
  • Cited by

    • 2018Using data mining approaches to build credit scoring model: Case study — Implementation of credit scoring model in microfinance institution16 cited
    • 2021An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending12 cited
    • 2017Deep Learning for Distribution Channels' Management7 cited