Bankruptcy Prediction of Engineering Companies in the EU Using Classification Methods
This article focuses on the problem of binary classification of 902 small- and medium‑sized engineering companies active in the EU, together with additional 51 companies which went bankrupt in 2014. For classification purposes, the basic statistical method of logistic regression has been selected, t...
Main Authors: | Michaela Staňková, David Hampel |
---|---|
Format: | Article |
Language: | English |
Published: |
Mendel University Press
2018-01-01
|
Series: | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
Subjects: | |
Online Access: | https://acta.mendelu.cz/66/5/1347/ |
Similar Items
-
Prediction of Bankruptcy with SVM Classifiers Among Retail Business Companies in EU
by: Václav Klepáč, et al.
Published: (2016-01-01) -
Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison
by: Jakub Horak, et al.
Published: (2020-03-01) -
Comparison Between Logistic Regression and Support Vector Machines For Classification Purposes
by: Furkan Başer, et al.
Published: (2015-12-01) -
BANKRUPTCY PREDICTION: SMES IN THE HOSPITALITY INDUSTRY
by: Juraini Zainol Abidin, et al.
Published: (2021-06-01) -
Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods
by: Aneta Ptak-Chmielewska
Published: (2021-03-01)