A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique.
Feng ShenXingchao ZhaoGang KouFawaz E. AlsaadiPublished in: Appl. Soft Comput. (2021)
Keyphrases
- evaluation model
- credit risk
- deep learning
- evaluation method
- credit risk evaluation
- unsupervised learning
- minority class
- machine learning
- weakly supervised
- analytic hierarchy process
- bp neural network
- training set
- neural network
- class imbalance
- mental models
- risk analysis
- decision trees
- data mining
- decision problems
- data sets
- optimization algorithm
- influence diagrams
- bayesian networks
- training data
- learning algorithm