Default patterns in seven EU countries : a random forest approach
Year of publication: |
July 2017
|
---|---|
Authors: | Behr, Andreas ; Weinblat, Jurij |
Published in: |
International journal of the economics of business. - Abingdon, Oxfordshire : Routledge, ISSN 1357-1516, ZDB-ID 1196953-2. - Vol. 24.2017, 2, p. 181-222
|
Subject: | Default Prediction | Random Forest | Probabilistic Classification | European Union | Decision Trees | Prototypes | Entscheidungsbaum | Decision tree | EU-Staaten | EU countries | Forstwirtschaft | Forestry | Prognoseverfahren | Forecasting model | Forstpolitik | Forest policy | Insolvenz | Insolvency | Kreditrisiko | Credit risk |
-
Predicting mortgage loan defaults using machine learning techniques
Krasovytskyi, Danylo, (2024)
-
Default prediction using balance-sheet data : a comparison of models
Behr, Andreas, (2017)
-
Model economic phenomena with CART and Random Forest algorithms
David, Benjamin, (2017)
- More ...
-
Default prediction using balance-sheet data: a comparison of models
Behr, Andreas, (2017)
-
Default prediction using balance-sheet data : a comparison of models
Behr, Andreas, (2017)
-
Behr, Andreas, (2019)
- More ...