Prediction of Bankruptcy with SVM Classifiers Among Retail Business Companies in EU

Prediction of Bankruptcy with SVM Classifiers Among Retail Business Companies in EU

Article focuses on the prediction of bankruptcy of the 850 medium-sized retail business companies in EU from which 48 companies gone bankrupt in 2014 with respect to lag of the used features. From various types of classification models we chose Support vector machines method with linear, polynomial...

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Bibliographic Details
Main Authors: Václav Klepáč, David Hampel
Format: Article
Language:English
Published: Mendel University Press 2016-01-01
Series:Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Subjects:
bankruptcy prediction
classification
feature selection
support vector machines
Online Access:https://acta.mendelu.cz/64/2/0627/

Internet

https://acta.mendelu.cz/64/2/0627/

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