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Prediction of loan status in commercial bank using machine learning classifier
5 references·7 citing·44 second hop
Prediction of loan status in commercial bank using machine learning classifier (2017)Prediction of loan status in commercial b…Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015)Predicting Credit Risk in Pee…Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Building contextual classifiers by integrating fuzzy rule based classification technique and k-nn method for credit scoring (2007)Building contextual classifie…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…Prediction of bank Loan Status using Machine Learning Algorithms (2023)Prediction of bank Loan Statu…An Efficient Loan Approval Status Prediction Using Machine Learning (2023)An Efficient Loan Approval St…Loan Prediction System Using Machine Learning (2022)Loan Prediction System Using …Swindle: Predicting the Probability of Loan Defaults using CatBoost Algorithm (2021)Swindle: Predicting the Proba…Data-driven approaches in FinTech: a survey (2021)Data-driven approaches in Fin…Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF (2021)Credit Risk Prediction in Com…Review of Machine Learning models for Credit Scoring Analysis (2020)Review of Machine Learning mo…Fuzzy sets (1965)Fuzzy sets (1996)An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making (2010)Basel Committee On Banking Supervision (2010)ARTIFICIAL METAPLASTICITY NEURAL NETWORK APPLIED TO CREDIT SCORING (2011)Machine learning and decision support system on credit scoring (2019)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 boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)P2P Lending Survey (2017)A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT (2019)Predicting loan default in peer‐to‐peer lending using narrative data (2019)Information Sharing in Credit Markets (1993)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)An analytical approach to credit risk assessment using machine learning models (2025)Integration of CNN Models and Machine Learning Methods in Credit Score Classification: 2D Image Transformation and Feature Extraction (2025)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Counterfactual Fairness (2017)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)Data Mining Techniques and its Applications in Banking Sector (2013)A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance (2015)Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines (2018)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Detection of Earnings Manipulation (1999)The emergence of the global fintech market: economic and technological determinants (2018)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending (2017)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Loan Credibility Prediction System Based on Decision Tree Algorithm (2015)An Approach for Prediction of Loan Approval using Machine Learning Algorithm (2020)An Approach to Predict Loan Eligibility using Machine Learning (2022)LOAN APPROVAL PREDICTION BASED ON MACHINE LEARNING APPROACH (2022)Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing (2024)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Developing Prediction Model of Loan Risk in Banks Using Data Mining (2016)
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References

  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2015Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach152 cited
  • 2007Building contextual classifiers by integrating fuzzy rule based classification technique and k-nn method for credit scoring63 cited

Cited by

  • 2020Review of Machine Learning models for Credit Scoring Analysis34 cited
  • 2021Data-driven approaches in FinTech: a survey21 cited
  • 2023An Efficient Loan Approval Status Prediction Using Machine Learning21 cited
  • 2021Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF19 cited
  • 2022Loan Prediction System Using Machine Learning18 cited
  • 2021Swindle: Predicting the Probability of Loan Defaults using CatBoost Algorithm18 cited
  • 2023Prediction of bank Loan Status using Machine Learning Algorithms17 cited

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