Construct · 1 fields · 1 citations

adaptive overfitting: a standalone construct

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Machine learning

overfitting to a holdout set that arises when analysts repeatedly query it and choose later analyses based on earlier results.

In machine learning, adaptive overfitting refers to overfitting to a holdout set that arises when analysts repeatedly query it and choose later analyses based on earlier results. This meaning comes from Dwork (2015) in Science.[1]

Unit
Recovery means
Measured by

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Nearby constructs

adaptive data analysis1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs overfitting1 fields · 1 citationsanchor · one construct, one field

References

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015). The reusable holdout: Preserving validity in adaptive data analysis. Science, 349(6248), 636-638. https://doi.org/10.1126/science.aaa9375

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