Comparative Study of Credit Risk Evaluation for Unbalanced Datasets Using Deep Learning Classifiers.
Timur ÖnerDima AlnahasAlper KanturvardarAbdullah Mert ÜlkgünCenk DemirogluPublished in: SIU (2023)
Keyphrases
- comparative study
- deep learning
- credit risk evaluation
- restricted boltzmann machine
- unsupervised learning
- unsupervised feature learning
- credit risk
- machine learning
- support vector
- decision trees
- feature selection
- training set
- naive bayes
- mental models
- training data
- classification accuracy
- pattern recognition
- training examples
- weakly supervised
- data mining
- text mining
- logistic regression
- multiscale
- briefly introduced