Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets.
Armindo LoboPedro OliveiraPaulo SampaioPaulo NovaisPublished in: DCAI (2022)
Keyphrases
- cost sensitive learning
- imbalanced datasets
- cost sensitive
- class imbalance
- active learning
- misclassification costs
- missing values
- probability estimation
- class distribution
- minority class
- feature selection algorithms
- machine learning
- ensemble methods
- error rate
- sampling methods
- nearest neighbor
- support vector
- decision trees