Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification.
Yu BaiSong MeiHuan WangCaiming XiongPublished in: CoRR (2021)
Keyphrases
- binary classification
- theoretical analysis
- multi class
- support vector
- learning problems
- cost sensitive
- multi label
- support vector machine
- multi class classification
- generalization error
- prediction accuracy
- binary classifiers
- ensemble methods
- class imbalance
- learning algorithm
- learning tasks
- data sets
- sample size
- benchmark datasets
- supervised learning
- knn
- decision trees