Towards the Automatic Creation of Optimized Classifier Ensembles

Julius Voggesberger, Peter Reimann, Peter Reimann, Bernhard Mitschang

2023

Abstract

Classifier ensemble algorithms allow for the creation of combined machine learning models that are more accurate and generalizable than individual classifiers. However, creating such an ensemble is complex, as several requirements must be fulfilled. An expert has to select multiple classifiers that are both accurate and diverse. In addition, a decision fusion algorithm must be selected to combine the predictions of these classifiers into a consensus decision. Satisfying these requirements is challenging even for experts, as it requires a lot of time and knowledge. In this position paper, we propose to automate the creation of classifier ensembles. While there already exist several frameworks that automatically create multiple classifiers, none of them meet all requirements to build optimized ensembles based on these individual classifiers. Hence, we introduce and compare three basic approaches that tackle this challenge. Based on the comparison results, we propose one of the approaches that best meets the requirements to lay the foundation for future work.

Paper Citation

in Harvard Style

Voggesberger J., Reimann P. and Mitschang B. (2023). Towards the Automatic Creation of Optimized Classifier Ensembles. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 615-622. DOI: 10.5220/0011988800003467

in Bibtex Style

@conference{iceis23,
author={Julius Voggesberger and Peter Reimann and Bernhard Mitschang},
title={Towards the Automatic Creation of Optimized Classifier Ensembles},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={615-622},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011988800003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards the Automatic Creation of Optimized Classifier Ensembles
SN - 978-989-758-648-4
AU - Voggesberger J.
AU - Reimann P.
AU - Mitschang B.
PY - 2023
SP - 615
EP - 622
DO - 10.5220/0011988800003467
PB - SciTePress