Construct · 1 fields · 1 citations

predictive multiplicity: a standalone construct

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

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Algorithmic fairness

competing models with near-equal accuracy assign conflicting predictions to the same individuals, measured by ambiguity and discrepancy.

In algorithmic fairness, predictive multiplicity refers to competing models with near-equal accuracy assign conflicting predictions to the same individuals, measured by ambiguity and discrepancy. This meaning comes from Marx (2019) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs ambiguity5 fields · 6 citationsjingle · one word, five constructs fairness4 fields · 4 citationsjingle · one word, four constructs

References

Marx, C. T., Calmon, F. d. P., & Ustun, B. (2019). Predictive Multiplicity in Classification. arXiv. https://doi.org/10.48550/arxiv.1909.06677

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