These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Predictions Groups Contrast (PGC)
The PGC metric compares the top-K ranking of features importance drawn from the entire dataset with the top-K ranking induced from specific subgroups of predictions. It can be applied to both categorical and regression problems, being useful for quantifying how the feature importance priority changes between subgroups. For categorical problems, G subgroups can represent output categories, and, for regression problems, G subgroups can be represented by different portions of the output support (e.g. quartiles).
Please refer to the reference website to access the full formula.
About the metric
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