Posterior Re-calibration for Imbalanced Datasets.
Junjiao TianYen-Cheng LiuNathan GlaserYen-Chang HsuZsolt KiraPublished in: CoRR (2020)
Keyphrases
- random forest
- learning from imbalanced data
- imbalanced datasets
- ensemble methods
- decision trees
- imbalanced data
- prediction accuracy
- posterior distribution
- probability distribution
- bayesian framework
- posterior probability
- nearest neighbor
- probabilistic model
- class distribution
- class imbalance
- sampling methods
- support vector machine
- training dataset