Posterior Re-calibration for Imbalanced Datasets.
Junjiao TianYen-Cheng LiuNathaniel GlaserYen-Chang HsuZsolt KiraPublished in: NeurIPS (2020)
Keyphrases
- imbalanced datasets
- learning from imbalanced data
- cost sensitive learning
- class distribution
- class imbalance
- decision trees
- imbalanced data
- training dataset
- ensemble methods
- feature selection algorithms
- probability distribution
- cost sensitive
- sampling methods
- active learning
- training data
- data sets
- posterior probability
- probabilistic model
- minority class
- bayesian framework
- test set
- multi class
- fraud detection
- pairwise
- learning algorithm