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 Γiε 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.
CITATION STYLE
Cherubin, G. (2019). Majority vote ensembles of conformal predictors. Machine Learning, 108(3), 475–488. https://doi.org/10.1007/s10994-018-5752-y
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