A binary Bi-phase mutation-based hybrid Equilibrium Optimizer for feature selection in medical datasets classification.
Amukta Malyada VommiBattula Tirumala KrishnaPublished in: Comput. Electr. Eng. (2023)
Keyphrases
- feature selection
- feature selection algorithms
- classification accuracy
- text classification
- classification models
- benchmark datasets
- uci repository
- support vector machine
- machine learning
- feature space
- binary classification problems
- text categorization
- machine learning algorithms
- model selection
- discriminative features
- feature extraction
- genetic algorithm
- binary classifiers
- microarray datasets
- uci machine learning repository
- irrelevant features
- preprocessing phase
- method for feature selection
- unsupervised learning
- support vector
- decision trees
- linear svm
- classification performances
- evolutionary algorithm
- training dataset
- training phase
- data sets
- data analysis
- feature vectors
- learning algorithm
- support vector machine svm
- class separability
- mutual information
- feature subset
- high dimensionality
- classification algorithm
- svm classifier
- neural network
- decision tree algorithms
- feature selection and classification
- multi objective
- small sample
- selected features
- feature set
- multi task
- classification method
- image classification
- business intelligence