Construct · 1 fields · 1 citations

hidden stratification: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

unrecognized subgroups within a labeled class on which a model performs poorly, masked by good average accuracy.

In machine learning, hidden stratification refers to unrecognized subgroups within a labeled class on which a model performs poorly, masked by good average accuracy. This meaning comes from Oakden-Rayner (2020) in Proceedings of the ACM Conference on Health, Inference, and Learning.[1]

Unit
Recovery means
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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs class3 fields · 3 citationsjingle · one word, three constructs good2 fields · 5 citationsjingle · one word, two constructs

References

Oakden-Rayner, L., Dunnmon, J., Carneiro, G., & Re, C. (2020). Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. Proceedings of the ACM Conference on Health, Inference, and Learning. https://doi.org/10.1145/3368555.3384468

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