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洞見 - Fairness in Machine Learning Models
FairRR: Pre-Processing for Group Fairness through Randomized Response
Achieving group fairness in downstream models through pre-processing with FairRR.
FairRR: Pre-Processing for Group Fairness through Randomized Response
The author proposes FairRR as a pre-processing algorithm to achieve group fairness by modifying response variables using Randomized Response, ensuring optimal model utility and fairness.
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