Impact of label leak attack on fairness assessment using five-fold random forest classifier.
收藏Figshare2026-02-23 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_p_Impact_of_label_leak_attack_on_fairness_assessment_using_five-fold_random_forest_classifier_p_/31394120
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The table reports the difference in performance and fairness metrics between using and not using the improved preprocessing fairness mitigation approach. Bias measures (SPD, DI, EOD, and AAOD) and group metrics (TPR, TNR, FPR, FNR, FDR, FOR, PPV, and NPV) are two categories of fairness evaluation that are presented.
创建时间：
2026-02-23
