Support vector machines for credit risk assessment with imbalanced datasets.
Sihem KhemakhemYounes BoujelbenePublished in: Int. J. Data Min. Model. Manag. (2018)
Keyphrases
- imbalanced datasets
- support vector
- learning machines
- learning from imbalanced data
- cost sensitive learning
- class imbalance
- class distribution
- imbalanced data
- support vector machine
- ensemble methods
- training dataset
- kernel function
- sampling methods
- cross validation
- generalization ability
- decision trees
- feature selection
- support vectors
- binary classification
- loss function
- feature selection algorithms
- high dimensional
- bp neural network
- training examples
- cost sensitive
- random forest
- svm classifier
- model selection
- data sets
- sample size
- test set
- feature space
- machine learning
- neural network