AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification.
Vasileios IosifidisSymeon PapadopoulosBodo RosenhahnEirini NtoutsiPublished in: CoRR (2022)
Keyphrases
- class imbalance
- text classification
- machine learning
- cost sensitive
- feature vectors
- classification accuracy
- feature selection
- cost sensitive boosting
- classification algorithm
- supervised learning
- image classification
- feature space
- classification models
- feature extraction
- imbalanced data
- decision trees
- support vector machine
- dimensionality reduction
- learning process
- model selection
- training samples
- high dimensional data
- machine learning methods
- support vector
- imbalanced data sets