Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Telmo de Menezes e Silva FilhoHao SongMiquel Perelló-NietoRaúl Santos-RodríguezMeelis KullPeter A. FlachPublished in: Mach. Learn. (2023)
Keyphrases
- class probabilities
- multi class
- probability estimates
- class distribution
- decision boundary
- naive bayes
- class labels
- training data
- cost sensitive
- support vector machine
- binary classifiers
- probability estimation
- feature space
- density function
- training set
- learning algorithm
- data distribution
- classification models
- random forests
- linear classifiers