EMRIL: Ensemble Method based on ReInforcement Learning for binary classification in imbalanced drifting data streams.
Muhammad UsmanHuanhuan ChenPublished in: Neurocomputing (2024)
Keyphrases
- binary classification
- ensemble methods
- data streams
- concept drift
- reinforcement learning
- class imbalance
- prediction accuracy
- ensemble learning
- class distribution
- decision trees
- ensemble classifier
- machine learning methods
- base classifiers
- benchmark datasets
- random forest
- change detection
- binary classifiers
- classifier ensemble
- machine learning
- classification algorithm
- data sets
- learning problems
- data distribution
- learning process
- base learners
- simulated annealing
- image features
- support vector
- learning algorithm