A framework for imbalanced classification that enforces a bound on positive prediction rate under capacity constraints to improve detection over standard resampling methods.
The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
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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.