A framework for imbalanced classification that enforces a bound on positive prediction rate under capacity constraints to improve detection over standard resampling methods.
Turning the tables: Biased, imbalanced, dynamic tabular datasets for ml evaluation
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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.