The effects of handling outliers on the performance of bankruptcy prediction models
Year of publication: |
2019
|
---|---|
Authors: | Nyitrai, Tamás ; Virág, Miklós |
Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 67.2019, p. 34-42
|
Subject: | Bankruptcy prediction | Data preprocessing | Winsorizing | Decision trees | CHAID | CART | Neural networks | Insolvenz | Insolvency | Prognoseverfahren | Forecasting model | Neuronale Netze | Entscheidungsbaum | Decision tree | Theorie | Theory |
-
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav, (2023)
-
Dynamic bankruptcy prediction models for european enterprises
Korol, Tomasz, (2019)
-
EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Kristóf, Tamás, (2022)
- More ...
-
Metamódszerek alkalmazása a csődelőrejelzésben
Virág, Miklós, (2014)
-
Virág, Miklós, (2014)
-
Application of support vector machines on the basis of the first Hungarian bankruptcy model
Virág, Miklós, (2013)
- More ...