Improving Classification under Changes in Class and Within-Class Distributions.
Rocío Alaíz-RodríguezAlicia Guerrero-CuriesesJesús Cid-SueiroPublished in: IWANN (1) (2009)
Keyphrases
- class distribution
- class labels
- imbalanced datasets
- majority class
- class imbalance
- class probabilities
- roc analysis
- minority class
- cost sensitive
- highly skewed
- training set
- target class
- highly imbalanced
- cost sensitive learning
- classification accuracy
- misclassification costs
- machine learning
- test set
- linear discriminant
- supervised learning
- multi class classification
- imbalanced data sets
- decision trees
- decision boundary
- training samples
- support vector machine
- classification algorithm
- training examples
- rare class
- training data
- machine learning algorithms
- roc curve
- imbalanced class distribution
- feature selection
- feature set
- cross validation
- feature extraction
- support vector
- feature space
- pairwise
- feature vectors
- receiver operating characteristic
- unlabeled data
- classification error