Heterogeneous versus Homogeneous Machine Learning Ensembles

Information Technology and Management Science

Merkurjeva Galina¹  Petrakova Aleksandra¹  Affenzeller Michael² 

[1] Riga Technical University;Upper Austria University of Applied Sciences;

关键词: Classification task;    ensemble modelling;    machine learning;    majority voting;   

DOI  :  10.1515/itms-2015-0021

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown