Spearman's rank correlation coefficient (SRCC)

Catalogue of Tools & Metrics for Trustworthy AI

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.

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In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a non-parametric measure of rank correlation (statistical dependence between the rankings of two variables). It assesses how well the relationship between two variables can be described using a monotonic function.

About the metric

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Objective(s):

Transparency & explainability

Purpose(s):

Recognition/object detection
Content generation

Lifecycle stage(s):

Verify & validate
Build & interpret model

Target users:

Data scientist
Developer

Risk management stage(s):

Define
Assess
Treat

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.