Ensemble Classifier for Solving Credit Scoring Problems

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.
Type de document :
Communication dans un congrès
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〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01365567
Contributeur : Hal Ifip <>
Soumis le : mardi 13 septembre 2016 - 15:19:56
Dernière modification le : mardi 13 septembre 2016 - 17:06:07
Document(s) archivé(s) le : mercredi 14 décembre 2016 - 15:04:30

Fichier

978-3-642-28255-3_7_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

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〉

Partager

Métriques

Consultations de la notice

172

Téléchargements de fichiers

84