Abstract : The goal of this paper is to propose an ensemble classification method for the credit assignment problem. The idea of the proposed method is based on switching class labels techniques. An application of such techniques allows solving two typical data mining problems: a predicament of imbalanced dataset, and an issue of asymmetric cost matrix. The performance of the proposed solution is evaluated on German Credits dataset.
Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.59-66, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_7〉
https://hal.inria.fr/hal-01365567
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Dernière modification le : mardi 13 septembre 2016 - 17:06:07
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Maciej Zięba, Jerzy Świątek. Ensemble Classifier for Solving Credit Scoring Problems. Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.59-66, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_7〉. 〈hal-01365567〉
