Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-01365567
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 13, 2016 - 3:19:56 PM
Last modification on : Tuesday, September 13, 2016 - 5:06:07 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 3:04:30 PM

File

978-3-642-28255-3_7_Chapter.pd...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Maciej Zięba, Jerzy Świątek. Ensemble Classifier for Solving Credit Scoring Problems. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. pp.59-66, ⟨10.1007/978-3-642-28255-3_7⟩. ⟨hal-01365567⟩

Share

Metrics

Record views

509

Files downloads

296