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EnglishError Correcting Output Coding is a well established technique to decompose a multi-class classification problem into a set of two-class problems. However, a point not yet considered in the research is how to apply this method to a cost- sensitive classification that represents a significant aspect in many real problems. In this paper we propose a novel method for building cost-sensitive ECOC multi-class classifiers. Starting from the cost matrix for the multi-class problem and from the code matrix employed, a cost matrix is extracted for each of the binary subproblems induced by the coding matrix. As a consequence, it is possible to tune the single two-class classifier according to the cost matrix obtained and achieve an output from all the dichotomizers which takes into account the requirements of the original multi-class cost matrix. To evaluate the effectiveness of the method, a large number of tests has been performed on real data sets. The first experimental results show that the proposed approach is suitable for future developments in cost-sensitive application.
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| Titolo: | A Method for Designing Cost sensitive ECOC | |
| Autori: | ||
| Data di pubblicazione: | 2004 | |
| Abstract: | Error Correcting Output Coding is a well established technique to decompose a multi-class classification problem into a set of two-class problems. However, a point not yet considered in the research is how to apply this method to a cost- sensitive classification that represents a significant aspect in many real problems. In this paper we propose a novel method for building cost-sensitive ECOC multi-class classifiers. Starting from the cost matrix for the multi-class problem and from the code matrix employed, a cost matrix is extracted for each of the binary subproblems induced by the coding matrix. As a consequence, it is possible to tune the single two-class classifier according to the cost matrix obtained and achieve an output from all the dichotomizers which takes into account the requirements of the original multi-class cost matrix. To evaluate the effectiveness of the method, a large number of tests has been performed on real data sets. The first experimental results show that the proposed approach is suitable for future developments in cost-sensitive application. | |
| Handle: | http://hdl.handle.net/11580/12281 | |
| ISBN: | 3540221441 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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