An Ensemble Framework of Multi-ratio Undersampling-based Imbalanced Classification.
Takahiro KomamizuYasuhiro OgawaKatsuhiko ToyamaPublished in: J. Data Intell. (2021)
Keyphrases
- class imbalance
- image classification
- training set
- pattern recognition
- imbalanced data
- neural network
- training data
- classification accuracy
- feature extraction
- class labels
- machine learning
- feature vectors
- feature selection
- prediction accuracy
- classification models
- classification method
- benchmark datasets
- binary classification problems
- cost sensitive
- decision rules
- support vector
- semi supervised learning
- support vector machine
- data streams