MaMiPot: a paradigm shift for the classification of imbalanced data.
Hossein Ghaderi ZefrehiHakan AltinçayPublished in: J. Intell. Inf. Syst. (2023)
Keyphrases
- imbalanced data
- paradigm shift
- class imbalance
- classification models
- image classification
- decision trees
- imbalanced datasets
- pattern recognition
- support vector machine
- decision boundary
- feature selection
- imbalanced data sets
- ensemble methods
- decision rules
- classification accuracy
- machine learning algorithms
- support vector
- ensemble classifier
- class distribution
- text classification
- linear regression
- model selection
- support vector machine svm
- pattern classification
- classification algorithm
- training process
- data sets
- learning tasks
- classification rules
- machine learning methods
- generalization ability
- active learning
- training set
- benchmark datasets
- feature space
- training data