An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects.
Zhang RunchiXue LiguoWang QinPublished in: Expert Syst. Appl. (2023)
Keyphrases
- credit scoring
- logistic regression
- random forests
- linear support vector machines
- decision trees
- logistic regression models
- naive bayes
- support vector
- loss function
- ensemble methods
- classification and regression trees
- neural network
- base classifiers
- credit card
- data sets
- similarity measure
- real world
- pattern recognition
- decision table