AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets.
Pietro LesciAndreas VlachosPublished in: CoRR (2024)
Keyphrases
- imbalanced datasets
- computationally efficient
- active learning
- rare class
- class imbalance
- cost sensitive learning
- imbalanced class distribution
- learning from imbalanced data
- sampling methods
- random sampling
- class distribution
- cost sensitive
- ensemble methods
- imbalanced data
- decision trees
- training dataset
- training set
- learning algorithm
- training examples
- learning process
- minority class
- supervised learning
- multi label
- machine learning
- sampling algorithm
- text classification
- semi supervised
- misclassification costs
- prediction accuracy
- feature selection algorithms
- labeled data
- generalization error
- missing values
- test data
- microarray