Multiple Filter-Based Rankers to Guide Hybrid Grasshopper Optimization Algorithm and Simulated Annealing for Feature Selection With High Dimensional Multi-Class Imbalanced Datasets.
Abdulrauf Garba SharifaiZurinahni ZainolPublished in: IEEE Access (2021)
Keyphrases
- multi class
- optimization algorithm
- feature selection
- high dimensional
- imbalanced datasets
- simulated annealing
- optimization method
- multi objective
- support vector machine
- feature selection algorithms
- binary classification
- pairwise
- dimensionality reduction
- class imbalance
- multi class classification
- high dimensionality
- cost sensitive
- multi task
- evolutionary algorithm
- genetic algorithm
- classification models
- linear classifiers
- binary classifiers
- imbalanced data
- support vector
- text categorization
- feature set
- random forest
- base classifiers
- ensemble methods