A joint investigation of misclassification treatments and imbalanced datasets on neural network performance.
Jyhshyan LanVictor L. BerardiButje Eddy PatuwoMichael Y. HuPublished in: Neural Comput. Appl. (2009)
Keyphrases
- imbalanced datasets
- neural network
- cost sensitive learning
- cost sensitive
- class distribution
- learning from imbalanced data
- misclassification costs
- sampling methods
- class imbalance
- ensemble methods
- decision trees
- imbalanced data
- training dataset
- feature selection algorithms
- back propagation
- error rate
- bp neural network
- genetic algorithm
- fraud detection
- data sets
- training data
- classification error
- total cost
- random sampling
- artificial neural networks