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MCS
2002
Springer

Stacking with Multi-response Model Trees

13 years 9 months ago
Stacking with Multi-response Model Trees
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the best classifier from the ensemble by cross validation. We then propose a new method for stacking, that uses multi-response model trees at the meta-level, and show that it outperforms existing stacking approaches, as well as selecting the best classifier from the ensemble by cross validation.
Saso Dzeroski, Bernard Zenko
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where MCS
Authors Saso Dzeroski, Bernard Zenko
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