A novel tree-based dynamic heterogeneous ensemble method for credit scoring.
Yufei XiaJunhao ZhaoLingyun HeYinguo LiMengyi NiuPublished in: Expert Syst. Appl. (2020)
Keyphrases
- credit scoring
- ensemble methods
- logistic regression
- prediction accuracy
- ensemble learning
- support vector machine svm
- machine learning methods
- random forests
- decision trees
- benchmark datasets
- random forest
- information entropy
- data mining technology
- neural network
- credit card
- real world
- image processing
- principal component analysis
- high dimensional
- preprocessing