Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection.
Jonathan HillmanToby Dylan HockingPublished in: CoRR (2021)
Keyphrases
- loss function
- binary classification
- support vector
- roc curve
- convex loss functions
- hinge loss
- multi class
- learning problems
- pairwise
- learning to rank
- support vector machine
- cost sensitive
- multi class classification
- prediction accuracy
- multi label
- generalization error
- reproducing kernel hilbert space
- evaluation measures
- cross validation
- kernel methods
- binary classifiers
- classification accuracy
- kernel function
- feature selection
- class imbalance
- precision and recall
- learning tasks
- training data