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| Tekijä: | Kiang, M. Y. |
| Otsikko: | A Comparative Assessment of Classification Methods |
| Lehti: | Decision Support Systems
2003 : JUL, VOL. 35:4, p. 441-454 |
| Asiasana: | NEURAL NETWORKS LEARNING CLASSIFICATION AND CODING |
| Kieli: | eng |
| Tiivistelmä: | Classification systems play an important role in business decision making tasks by classifying the available information based on some criteria. The objective of this research is to assess the relative performance of some well-known classification methods. The authors consider classification techniques that are based on statistical and AI techniques. The authors use synthetic data to perform a controlled experiment in which the data characteristics are systematically altered to introduce imperfections such as nonlinearity, multicollinearity, unequal covariance, etc. The experiments suggest that data characteristics impact the classification performance of the method. The results of the study can aid in the design of classification systems. |
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