This chapter is concerned with ensemble classification, i.e. using a set of classifiers to classify unseen data rather than just a single one. The classifiers in the ensemble all predict the correct classification of each unseen instance and their predictions are then combined using some form of voting system.
CITATION STYLE
Bramer, M. (2016). Ensemble Classification (pp. 209–220). https://doi.org/10.1007/978-1-4471-7307-6_14
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