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Authors: Rodica Potolea and Camelia Lemnaru

Affiliation: Technical University of Cluj-Napoca, Romania

Keyword(s): Class imbalance, Metrics, Classifiers, Comprehensive study.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Performance Evaluation and Benchmarking ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Class imbalance is one of the significant issues which affect the performance of classifiers. In this paper we systematically analyze the effect of class imbalance on some standard classification algorithms. The study is performed on benchmark datasets, in relationship with concept complexity, size of the training set, and ratio between number of instances and number of attributes of the training set data. In the evaluation we considered six different metrics. The results indicate that the multilayer perceptron is the most robust to the imbalance in training data, while the support vector machine’s performance is the most affected. Also, we found that unpruned C4.5 models work better than the pruned versions.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Potolea, R. and Lemnaru, C. (2011). A COMPREHENSIVE STUDY OF THE EFFECT OF CLASS IMBALANCE ON THE PERFORMANCE OF CLASSIFIERS. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8425-53-9; ISSN 2184-4992, SciTePress, pages 14-21. DOI: 10.5220/0003415800140021

@conference{iceis11,
author={Rodica Potolea. and Camelia Lemnaru.},
title={A COMPREHENSIVE STUDY OF THE EFFECT OF CLASS IMBALANCE ON THE PERFORMANCE OF CLASSIFIERS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2011},
pages={14-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003415800140021},
isbn={978-989-8425-53-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A COMPREHENSIVE STUDY OF THE EFFECT OF CLASS IMBALANCE ON THE PERFORMANCE OF CLASSIFIERS
SN - 978-989-8425-53-9
IS - 2184-4992
AU - Potolea, R.
AU - Lemnaru, C.
PY - 2011
SP - 14
EP - 21
DO - 10.5220/0003415800140021
PB - SciTePress