Credit scoring based on a Bagging-cascading boosted decision tree.
Yao ZouChangchun GaoMeng XiaCongyuan PangPublished in: Intell. Data Anal. (2022)
Keyphrases
- credit scoring
- decision trees
- logistic regression
- random forests
- ensemble methods
- naive bayes
- random forest
- decision stumps
- machine learning algorithms
- base classifiers
- training data
- decision tree classifiers
- machine learning
- support vector machine svm
- credit card
- information retrieval
- regression trees
- data mining
- classification rules
- neural network
- training set
- data mining methods
- decision rules
- information entropy
- support vector
- databases
- machine learning methods
- regression problems
- loss function
- multi class