Is combining classifiers with stacking better than selecting the best one?.
We empirically evaluate several state-of-the-art methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to selecting the best classifier from the ensemble by cross validation. Among state-of-the-art stacking methods, stacking wit...
| Publicado no: | Machine learning. 54, 3 (2004). |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | English |
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