FairTTTS is a Monte Carlo post-processing method that flips decision-tree branches at protected-attribute splits to improve fairness while keeping accuracy stable.
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FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
FairTTTS is a Monte Carlo post-processing method that flips decision-tree branches at protected-attribute splits to improve fairness while keeping accuracy stable.