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.
Partial Dependence Complexity (PDC)
The Partial Dependence Complexity metric uses the concept of Partial Dependence curve to evaluate how simple this curve can be represented. The partial dependence curve is used to show model predictions are affected on average by each feature. Curves represented by linear functions are easy to grasp and interpret, but some features may have a highly non-linear and complex effects on the model outcomes. Our proposed metric aims to measure how much the curve changes across the variable domain.
Please refer to the reference website to access the full formula.
About the metric
You can click on the links to see the associated metrics
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