A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics.
Yongqing ZhangMeng LinYihan YangChunli DingPublished in: Comput. Biol. Chem. (2022)
Keyphrases
- evolutionary algorithm
- machine learning
- training set
- imbalanced data
- support vector
- pattern recognition
- final classification
- text classification
- support vector machine
- classification accuracy
- majority voting
- binary classification problems
- feature selection
- learning algorithm
- class imbalance
- classification algorithm
- neural network
- benchmark datasets
- image classification
- support vector machine svm
- decision trees
- feature extraction
- data analysis
- wrapper feature selection
- ensemble classification
- multiple classifier systems
- ensemble classifier
- supervised learning
- regression problems
- feature space
- decision boundary
- multiple classifiers
- imbalanced datasets
- classification models
- single class
- ensemble methods
- pattern classification
- text mining