Distribution-free binary classification: prediction sets, confidence intervals and calibration.
Chirag GuptaAleksandr PodkopaevAaditya RamdasPublished in: CoRR (2020)
Keyphrases
- binary classification
- confidence intervals
- distribution free
- prediction accuracy
- sample size
- multi class
- learning problems
- generalization error
- vc dimension
- support vector
- multi label
- support vector machine
- ensemble methods
- large deviations
- markov chain
- cost sensitive
- class imbalance
- conditional probabilities
- monte carlo
- roc curve
- test set
- model selection