POSSIBILISTIC METHODOLOGY FOR THE EVALUATION OF CLASSIFICATION ALGORITHMS

Olgierd Hryniewicz

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Paper

POSSIBILISTIC METHODOLOGY FOR THE EVALUATION OF CLASSIFICATION ALGORITHMS

Topics: Machine Learning

In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT, 313-322, 2011 , Seville, Spain

Author: Olgierd Hryniewicz

Affiliation: Polish Academy of Sciences, Poland

Keyword(s): Classification, Accuracy, Statistical tests, Multinomial distribution, Comparison of algorithms, Possibility and necessity indices.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: In the paper we consider the problem of the evaluation and comparison of different classification algorithms. For this purpose we apply the methodology of statistical tests for the multinomial distribution. We propose to use two-sample tests for the comparison of different classification algorithms, and one-sample goodness-of-fit tests for the evaluation of the quality of classification. We restrict our attention to the case of the supervised classification when an external ‘expert’ evaluates the correctness of classification. The results of the proposed statistical tests are interpreted using possibilistic indices of dominance introduced by Dubois and Prade.

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Paper citation in several formats:

Hryniewicz, O. (2011). POSSIBILISTIC METHODOLOGY FOR THE EVALUATION OF CLASSIFICATION ALGORITHMS. In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT; ISBN 978-989-8425-77-5; ISSN 2184-2833, SciTePress, pages 313-322. DOI: 10.5220/0003436803130322

@conference{icsoft11,
author={Olgierd Hryniewicz.},
title={POSSIBILISTIC METHODOLOGY FOR THE EVALUATION OF CLASSIFICATION ALGORITHMS},
booktitle={Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT},
year={2011},
pages={313-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003436803130322},
isbn={978-989-8425-77-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT
TI - POSSIBILISTIC METHODOLOGY FOR THE EVALUATION OF CLASSIFICATION ALGORITHMS
SN - 978-989-8425-77-5
IS - 2184-2833
AU - Hryniewicz, O.
PY - 2011
SP - 313
EP - 322
DO - 10.5220/0003436803130322
PB - SciTePress