Support of Contextual Classifier Ensemble Building
Janina Anna Jakubczyc, Mieczyslaw Owoc
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 1683–1689 (2015)
Abstract. An idea of contextual classifier ensembles extends the application possibility of additional measures of quality of base and ensemble classifiers in the process of contextual ensembles design. These measures besides the obvious classifier accuracy and diversity/similarity take under consideration the complexity, interpretability and significance. The complexity (the number of used measures and multi level measure structure), the diversity of the scales of used measures and the necessity of the fusion of different measures to one assessment value are the reasons for user support in contextual classifier ensembles design using fuzzy logic and multi criteria analysis. The aim for this paper is an idea of the framework of the process of contextual ensemble design.