A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers.
Zahra NikdelHamid BeigyPublished in: Int. J. Comput. Intell. Appl. (2012)
Keyphrases
- cost sensitive
- genetic programming
- boosting algorithms
- naive bayes
- learning algorithm
- active learning
- training data
- machine learning algorithms
- multi class
- class probabilities
- misclassification costs
- binary classification
- class distribution
- cost sensitive classification
- probability estimates
- cost sensitive learning
- training samples
- classification algorithm
- training set
- decision trees
- support vector machine
- evolutionary algorithm
- binary classifiers
- machine learning
- classification accuracy
- training examples
- classification rules
- support vector
- feature selection
- genetic algorithm
- test set
- class imbalance
- classifier combination
- learning problems
- machine learning methods
- base classifiers
- svm classifier
- class labels
- linear classifiers
- multi class classification
- probability estimation
- prediction accuracy
- feature extraction
- data mining
- learning process
- supervised learning
- roc curve
- feature set
- model selection
- learning tasks
- multi label