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1 Journal of Medical Informatics & Technologies

1 2015

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Dynamical ensemble selection - experimental analysis on homogenous pool of classifiers

Baczyńska P., Burduk R.

Journal of Medical Informatics & Technologies

2015

Vol. 24

107--112

The paper presents the dynamic ensemble selection based on the analysis of the decision proﬁles. These proﬁles are obtained from a posteriori probability functions returned from the base classifiers during the training process. Presented in the paper dynamic ensemble selection algorithms are dedicated to the binary classification task. In order to verify these algorithms, a number of experiments have been carried out on several medical data sets. The proposed dynamic ensemble selection is experimentally compared against the ensemble with the sum fusion method. As base classifiers we used the pool of homogeneous classifiers. The obtained results are promising because we could improve the classification accuracy of the ensemble classifier.