IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data.
Seyed Ehsan RoshanJafar TanhaFarzad HallajiMohammadreza GhanbariPublished in: Complex. (2023)
Keyphrases
- imbalanced data
- weighting factor
- ensemble methods
- ensemble classifier
- feature selection
- decision trees
- class imbalance
- imbalanced datasets
- classification models
- linear regression
- support vector machine
- class distribution
- base classifiers
- ensemble learning
- pattern classification
- machine learning
- classification algorithm
- support vector machine svm
- svm classifier
- support vector
- training set
- cost sensitive learning
- feature extraction
- decision boundary
- multi class
- text classification
- cost sensitive
- benchmark datasets
- class labels
- multiscale
- image classification
- generalization ability
- concept drift
- least squares
- classification accuracy
- prediction accuracy
- high dimensionality
- base learners
- sampling methods
- machine learning methods
- feature space