Reduced Ensemble Size Stacking

Authors:
Niall Rooney;David Patterson;Chris Nugent
Affiliations:
University of Ulster;University of Ulster;University of Ulster
Venue:
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Year:
2004

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Abstract

In this paper we investigate an algorithmic extension to the technique of Stacked Regression that prunes the size of a homogeneous ensemble set based on a consideration of the accuracy and diversity of the set members. We show that the pruned ensemble set is as accurate on average over the data-sets tested as the non-pruned version, which provides benefits in terms of its application efficiency and reduced complexity of the ensemble.