For his Spurious Correlations project, Tyler Vigen compares data sets that are the very definition of “correlation is not ca ...
AI models often rely on “spurious correlations,” making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Spurious Correlations is the virtual embodiment of a useful rhetorical cudgel: correlation does not equal causation. Sift through its data sets, and you'll find all sorts of statistics that can be ...
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