Combining a genetic algorithm and ensemble method to improve the classification of viruses.
Dylan LebatteuxAbdoulaye Baniré DialloPublished in: BIBM (2021)
Keyphrases
- ensemble methods
- genetic algorithm
- generalization ability
- decision trees
- benchmark datasets
- machine learning methods
- multilabel classification
- classifier ensemble
- prediction accuracy
- random forest
- pattern recognition
- ensemble learning
- classification accuracy
- base classifiers
- random forests
- ensemble classifier
- uci data sets
- image classification
- feature selection
- support vector
- feature subset
- machine learning algorithms
- data sets
- class labels
- learning algorithm
- classification algorithm
- text classification
- classifier combination
- classification models
- supervised learning
- feature set
- base learners
- feature extraction
- feature space
- feature vectors
- cost sensitive
- fitness function
- metaheuristic