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Authors: Jamileh Yousefi 1 and Andrew Hamilton-Wright 2

Affiliations: 1 University of Guelph, Canada ; 2 University of Guelph and Mount Allison University, Canada

ISBN: 978-989-758-201-1

Keyword(s): fuzzy, discretization, Neurofuzzy, classification, skewness, Nefclass

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Learning and Adaptive Fuzzy Systems ; Neuro-Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing ; Soft Computing and Intelligent Agents

Abstract: This paper presents a model for treatment of skewness effect on accuracy of the Nefclass classifier by changing embedded discretization method within the classifier. Nefclass is a common example of the popular construction of a Neurofuzzy system. The popular Nefclass classifier exhibits surprising behaviour when the feature values of the training and testing data sets exhibit significant skew. As skewed feature values are commonly observed in biological data sets, this is a topic that is of interest in terms of the applicability of such a classifier to these types of problems. From this study it is clear that the effect of skewness on classification accuracy is significant and this must be considered in work dealing with skewed data distributions. We compared accuracy of Nefclass classifier with two modified versions of Nefclass embedded with MME and CAIM discretization methods. From this study it is found the CAIM and MME discretization methods results in greater improvements in the classification accuracy of Nefclass classifier as compared to using the original EqualWidth technique. (More)

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Paper citation in several formats:
Yousefi J. and Hamilton-Wright A. (2016). Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 21-29. DOI: 10.5220/0006033800210029

@conference{fcta16,
author={Jamileh Yousefi and Andrew Hamilton-Wright},
title={Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)},
year={2016},
pages={21-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006033800210029},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)
TI - Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets
SN - 978-989-758-201-1
AU - Yousefi J.
AU - Hamilton-Wright A.
PY - 2016
SP - 21
EP - 29
DO - 10.5220/0006033800210029

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