On the suitability of resampling techniques for the class imbalance problem in credit scoring.
Ana Isabel MarquésVicente GarcíaJosé Salvador SánchezPublished in: J. Oper. Res. Soc. (2013)
Keyphrases
- class imbalance
- credit scoring
- logistic regression
- class distribution
- active learning
- support vector machine svm
- cost sensitive
- information entropy
- credit card
- data mining technology
- concept drift
- high dimensionality
- minority class
- feature selection
- data mining
- data sets
- image processing
- machine learning
- rough sets
- information retrieval