Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm.
Cristiano Leite CastroAntônio de Pádua BragaPublished in: ICANN (2) (2012)
Keyphrases
- learning algorithm
- unbalanced data
- training data
- artificial neural networks
- back propagation
- class distribution
- classification accuracy
- decision trees
- logistic regression
- neural network
- learning rate
- machine learning algorithms
- machine learning
- supervised learning
- learning problems
- misclassification costs
- training samples
- naive bayes
- ridge regression
- support vector machine
- active learning
- model selection
- multi class
- generalization ability
- generalization error
- feature selection
- standard svm
- roc curve
- data sets
- training algorithm
- learning tasks
- training set
- error rate
- text categorization
- image classification