Revisiting AdaBoost for Cost-Sensitive Classification. Part II: Empirical Analysis.
Iago Landesa-VazquezJosé Luis Alba-CastroPublished in: CoRR (2015)
Keyphrases
- empirical analysis
- cost sensitive classification
- multi class
- cost sensitive
- empirical studies
- theoretical analysis
- error rate
- base classifiers
- cost sensitive learning
- support vector machine
- learning algorithm
- binary classification
- pairwise
- multi class classification
- misclassification costs
- classification error
- feature selection
- listed companies
- fraud detection
- data streams
- training data
- decision trees
- neural network
- learning process
- test set
- ensemble methods
- feature extraction
- binary classifiers