Published November 23, 2022 | Version v2
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Appendix for "Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness"

  • 1. Politecnico di Torino

Description

In this document we provide three appendixes for the journal article “Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness”.

In Appendix A we show predictors and targets that we took into account for each dataset employed in our study.

In Appendix B we describe the configurations of the thresholds that we defined during the procedure of Identification of Risk Thresholds. 

In Appendix C, for each combination of balance-unfairness-algorithm we report the best thresholds selected by accuracy, the configuration they correspond to (among the 5 options described in Appendix B), and all the evaluation metrics related to those thresholds.

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