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
1. Verfasser: Cherubin, Giovanni
Format: Artikel
Sprache:eng
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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.
ISSN:0885-6125
1573-0565
DOI:10.1007/s10994-018-5752-y