Exploring the behaviour of base classifiers in credit scoring ensembles.
A. I. MarquésVicente GarcíaJosé Salvador SánchezPublished in: Expert Syst. Appl. (2012)
Keyphrases
- base classifiers
- credit scoring
- logistic regression
- ensemble methods
- decision trees
- naive bayes
- multi class
- ensemble learning
- random forest
- support vector machine svm
- training set
- test data
- class labels
- training samples
- information entropy
- ensemble classifier
- cost sensitive
- classifier ensemble
- credit card
- data mining technology
- combining classifiers
- base learners
- multiple classifier systems
- feature set
- benchmark datasets
- random forests
- classifier combination
- data mining
- prediction accuracy
- support vector machine
- feature extraction
- historical data
- text categorization
- risk assessment
- classification accuracy
- feature selection
- computer vision
- learning algorithm
- real world