Minimax Regret Classifier for Imprecise Class Distributions.
Rocío Alaíz-RodríguezAlicia Guerrero-CuriesesJesús Cid-SueiroPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- misclassification costs
- class distribution
- minimax regret
- training data
- roc analysis
- training set
- training examples
- cost sensitive
- highly skewed
- binary classifiers
- class labels
- training samples
- class imbalance
- roc curve
- test set
- test data
- learning algorithm
- naive bayes
- support vector machine
- decision trees
- training and test data
- multi class
- classification algorithm
- unlabeled data
- active learning
- data sets
- feature selection
- total cost
- support vector
- feature space
- classification error
- supervised learning
- base classifiers
- classification accuracy
- training dataset
- decision problems
- utility function
- svm classifier
- labeled data
- graph cuts
- prior knowledge
- text classification
- cross validation