This paper presents results of experiments on some data sets using bagging on the MLEM2 rule induction algorithm. Three different methods of ensemble voting, based on support (a non-democratic voting in which ensembles vote with their strengths), strength only (an ensemble with the largest strength decides to which concept a case belongs) and democratic voting (each ensemble has at most one vote) were used. Our conclusions are that though in most cases democratic voting was the best, it is not significantly better than voting based on support. The strength voting was the worst voting method. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Cohagan, C., Grzymala-Busse, J. W., & Hippe, Z. S. (2010). A comparison of three voting methods for bagging with the MLEM2 algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6283 LNCS, pp. 118–125). https://doi.org/10.1007/978-3-642-15381-5_15
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