Majority vote ensembles of conformal predictors
We study majority vote ensembles of ε -valid conformal predictors (CP). We show that the prediction set Γ η produced as the majority vote among the prediction sets Γ i ε of k independent ε -valid CPs is also valid, for some significance level η ; we provide a method to compute ε to achieve a desired...
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Veröffentlicht in: | Machine learning 2019-03, Vol.108 (3), p.475-488 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | We study majority vote ensembles of
ε
-valid conformal predictors (CP). We show that the prediction set
Γ
η
produced as the majority vote among the prediction sets
Γ
i
ε
of
k
independent
ε
-valid CPs is also valid, for some significance level
η
; we provide a method to compute
ε
to achieve a desired
η
. We further indicate an error upper bound for an ensemble of correlated CPs, and derive a value
ε
for which such an ensemble guarantees
η
conservative validity. We evaluate empirically our findings, and compare them with alternative strategies for combining CPs’ predictions. |
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ISSN: | 0885-6125 1573-0565 |
DOI: | 10.1007/s10994-018-5752-y |