An Experimental Evaluation of Some Classification Methods |
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Authors: | M Doumpos E Chatzi C Zopounidis |
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Institution: | (1) Department of Production Engineering and Management, Financial Engineering Laboratory, Technical University of Crete, University Campus, 73100 Chania, Greece |
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Abstract: | The classification problem is of major importance to a plethora of research fields. The outgrowth in the development of classification methods has led to the development of several techniques. The objective of this research is to provide some insight on the relative performance of some well-known classification methods, through an experimental analysis covering data sets with different characteristics. The methods used in the analysis include statistical techniques, machine learning methods and multicriteria decision aid. The results of the study can be used to support the design of classification systems and the identification of the proper methods that could be used given the data characteristics. |
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Keywords: | classification machine learning Monte Carlo simulation multicriteria decision aid Statistical techniques |
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