Feature Selection in Under bagging Based Kernel ELM for Handling Class Imbalance Dataset Classification.
Roshani ChoudharyJayesh Kumar KashyapSanyam ShuklaManasi GyanchandaniPublished in: WCES (2022)
Keyphrases
- class imbalance
- feature selection
- imbalanced data
- high dimensionality
- class distribution
- support vector
- feature space
- active learning
- imbalanced datasets
- cost sensitive
- feature set
- cost sensitive learning
- support vector machine
- majority class
- minority class
- text classification
- kernel function
- machine learning
- classification models
- classification accuracy
- training set
- text categorization
- feature selection algorithms
- random forests
- decision trees
- sampling methods
- ensemble classifier
- multi class
- concept drift
- base classifiers
- svm classifier
- meta learning
- ensemble learning
- majority voting
- model selection
- high dimensional data
- data sets