FairML.jl is a Julia package combining resampling, constrained optimization, and cut-off selection to reduce disparate impact and disparate mistreatment in binary classification.
Joint use of over-and under-sampling techniques and cross-validation for the development and assessment of prediction models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
FairML: A Julia Package for Fair Classification
FairML.jl is a Julia package combining resampling, constrained optimization, and cut-off selection to reduce disparate impact and disparate mistreatment in binary classification.