Heterogeneous versus Homogeneous Machine Learning Ensembles

Petrakova Aleksandra (), Merkurjeva Galina () and Affenzeller Michael ()
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Merkurjeva Galina: Riga Technical University
Affenzeller Michael: Upper Austria University of Applied Sciences

Information Technology and Management Science, 2015, vol. 18, issue 1, 135-140

Abstract: The research demonstrates efficiency of the heterogeneous model ensemble application for a cancer diagnostic procedure. Machine learning methods used for the ensemble model training are neural networks, random forest, support vector machine and offspring selection genetic algorithm. Training of models and the ensemble design is performed by means of HeuristicLab software. The data used in the research have been provided by the General Hospital of Linz, Austria.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:itmasc:v:18:y:2015:i:1:p:135-140:n:21

DOI: 10.1515/itms-2015-0021

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