A focal-aware cost-sensitive boosted tree for imbalanced credit scoring.
Wan'an LiuHong FanMin XiaMeng XiaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- cost sensitive
- credit scoring
- class imbalance
- class distribution
- logistic regression
- fraud detection
- naive bayes
- credit card
- misclassification costs
- multi class
- cost sensitive learning
- support vector machine svm
- cost sensitive classification
- random forests
- binary classification
- classification trees
- support vector machine
- active learning
- data mining technology
- data mining
- information entropy
- data sets
- support vector
- learning algorithm
- decision trees
- bayesian networks
- semi supervised learning
- pairwise
- data points
- text classification