Test-Cost Sensitive Ensemble of Classifiers Using Reinforcement Learning.
Mohammad MirhashemiReza AnvariMorteza BarariNasser MozayaniPublished in: Rev. d'Intelligence Artif. (2020)
Keyphrases
- cost sensitive
- naive bayes
- reinforcement learning
- base classifiers
- multi class
- ensemble learning
- cost sensitive learning
- misclassification costs
- class probabilities
- ensemble classifier
- cost sensitive classification
- training data
- training set
- binary classification
- binary classifiers
- classifier ensemble
- class distribution
- probability estimates
- boosting algorithms
- decision trees
- class imbalance
- support vector machine
- active learning
- imbalanced data
- feature selection
- test data
- learning algorithm
- classification accuracy
- supervised learning
- neural network
- support vector
- weak classifiers
- ensemble methods
- cost sensitive boosting
- classifier combination
- learning process
- probability estimation
- training samples
- svm classifier
- training examples
- machine learning algorithms
- multi class classification
- text classification
- feature set
- linear classifiers
- prediction accuracy
- test set
- test cases
- loss function
- machine learning methods