A framework for imbalanced classification that enforces a bound on positive prediction rate under capacity constraints to improve detection over standard resampling methods.
Consistent multiclass algorithms for complex metrics and constraints
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Imbalanced Classification under Capacity Constraints
A framework for imbalanced classification that enforces a bound on positive prediction rate under capacity constraints to improve detection over standard resampling methods.