Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost.
Jungeun KimKeunho ChoiGunwoo KimYongmoo SuhPublished in: Expert Syst. Appl. (2012)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- misclassification costs
- multi class
- support vector machine
- class dependent
- probability estimates
- binary classification
- naive bayes
- class distribution
- class imbalance
- active learning
- binary classifiers
- boosting algorithms
- training set
- linear classifiers
- classification algorithm
- svm classifier
- support vector
- training data
- class labels
- feature space
- training samples
- feature vectors
- roc curve
- base classifiers
- small number
- information extraction