Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers.
Serafín Moral-GarcíaJoaquín AbellánPublished in: IEEE Access (2023)
Keyphrases
- credit scoring
- diversity measures
- classifier ensemble
- logistic regression
- decision trees
- ensemble members
- support vector machine svm
- ensemble learning
- ensemble classifier
- naive bayes
- support vector
- data mining technology
- random forests
- credit card
- ensemble methods
- information entropy
- base classifiers
- data mining
- machine learning algorithms
- training data
- random forest
- pairwise
- training set
- decision making
- feature selection