From Cost-Sensitive to Tight F-measure Bounds.
Kevin BascolRémi EmonetÉlisa FromontAmaury HabrardGuillaume MetzlerMarc SebbanPublished in: AISTATS (2019)
Keyphrases
- cost sensitive
- lower bound
- upper bound
- worst case
- multi class
- misclassification costs
- cost sensitive learning
- cost sensitive classification
- binary classification
- naive bayes
- active learning
- class distribution
- precision and recall
- class imbalance
- text classification
- confidence weighted
- objective function
- generalization error
- feature extraction
- learning algorithm