Majority vote ensembles of conformal predictors

13Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free