Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.
Meelis KullMiquel Perelló-NietoMarkus KängseppTelmo de Menezes e Silva FilhoHao SongPeter A. FlachPublished in: NeurIPS (2019)
Keyphrases
- class probabilities
- multi class
- random forests
- cost sensitive
- density function
- decision boundary
- bayesian methods
- probability estimation
- class distribution
- pairwise
- binary classifiers
- class labels
- probability estimates
- inductive learning
- training set
- conditional probabilities
- probability distribution
- bayesian framework
- test set
- naive bayes
- semi supervised