An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring.
Loris NanniAlessandra LuminiPublished in: Expert Syst. Appl. (2009)
Keyphrases
- credit scoring
- bankruptcy prediction
- credit card
- logistic regression
- training data
- training set
- financial data
- support vector
- naive bayes
- feature selection
- financial ratios
- decision trees
- random forests
- fraud detection
- neural network
- ensemble methods
- support vector machine svm
- learning vector quantization
- base classifiers
- classification accuracy
- data mining technology
- random forest
- pattern recognition
- information entropy
- learning algorithm
- data mining
- text classification
- active learning
- natural language processing