Witryna22 kwi 2024 · Disparate Impact Remover is a pre-processing technique that edits values, which will be used as features, to increase fairness between the groups. As seen in the diagram above, a feature can give a good indication as to which group a data point may belong to. Disparate Impact Remover aims to remove this ability to distinguish … Witryna29 sie 2024 · Disparate impact remover is a pre-processing bias mitigation method. It removes bias hidden in numeric columns in data. It works best if among subgroups there is similar number of observations. Usage disparate_impact_remover(data, protected, features_to_transform, lambda = 1) Arguments Details
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