The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements.
Nebojsa NikolicNevenka Zarkic-JoksimovicDjordje StojanovskiIva JoksimovicPublished in: Expert Syst. Appl. (2013)
Keyphrases
- credit scoring
- logistic regression
- brute force
- logistic regression models
- classification and regression trees
- credit risk
- decision trees
- financial statements
- support vector
- random forests
- loss function
- naive bayes
- credit card
- data mining
- classification trees
- computationally expensive
- support vector machine svm
- data mining technology
- factor analysis
- discriminant analysis
- listed companies
- neural network