The receiver operating characteristic curve accurately assesses imbalanced datasets.
Eve RichardsonRaphael TrevizaniJason A. GreenbaumHannah CarterMorten NielsenBjoern PetersPublished in: Patterns (2024)
Keyphrases
- imbalanced datasets
- receiver operating characteristic curves
- learning from imbalanced data
- cost sensitive learning
- class distribution
- class imbalance
- sampling methods
- decision trees
- ensemble methods
- imbalanced data
- training dataset
- random forest
- feature selection algorithms
- cost sensitive
- fraud detection
- error rate
- active learning
- artificial neural networks