Classifier ensemble methods in feature selection.
Hakan Ezgi KizilozPublished in: Neurocomputing (2021)
Keyphrases
- ensemble methods
- feature subset
- feature selection
- ensemble learning
- ensemble classifier
- ensemble feature selection
- classifier ensemble
- decision trees
- uci data sets
- individual classifiers
- feature set
- random forests
- prediction accuracy
- base classifiers
- benchmark datasets
- machine learning methods
- majority voting
- feature space
- classification accuracy
- ensemble classification
- feature selection algorithms
- naive bayes
- random forest
- generalization ability
- classification models
- ensemble members
- support vector machine
- imbalanced data
- machine learning
- genetic algorithm ga
- svm classifier
- bootstrap sampling
- classifier combination
- support vector
- drifting concepts
- binary classification
- base learners
- feature extraction
- text categorization
- kernel function
- data mining
- multi class
- classification algorithm
- genetic algorithm
- learning algorithm
- training data
- logistic regression
- class labels
- feature vectors
- text classification
- genetic programming
- k nearest neighbor
- training samples