Polish Companies Bankruptcy
About
The dataset is about bankruptcy prediction of Polish companies.The bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013.
The dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service (EMIS, http://www.securities.com), which is a database containing information on emerging markets around the world. The bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013.
Basing on the collected data five classification cases were distinguished, that depends on the forecasting period:
- 1stYear – the data contains financial rates from 1st year of the forecasting period and corresponding class label that indicates bankruptcy status after 5 years. The data contains 7027 instances (financial statements), 271 represents bankrupted companies, 6756 firms that did not bankrupt in the forecasting period.
- 2ndYear – the data contains financial rates from 2nd year of the forecasting period and corresponding class label that indicates bankruptcy status after 4 years. The data contains 10173 instances (financial statements), 400 represents bankrupted companies, 9773 firms that did not bankrupt in the forecasting period.
- 3rdYear – the data contains financial rates from 3rd year of the forecasting period and corresponding class label that indicates bankruptcy status after 3 years. The data contains 10503 instances (financial statements), 495 represents bankrupted companies, 10008 firms that did not bankrupt in the forecasting period.
- 4thYear – the data contains financial rates from 4th year of the forecasting period and corresponding class label that indicates bankruptcy status after 2 years. The data contains 9792 instances (financial statements), 515 represents bankrupted companies, 9277 firms that did not bankrupt in the forecasting period.
- 5thYear – the data contains financial rates from 5th year of the forecasting period and corresponding class label that indicates bankruptcy status after 1 year. The data contains 5910 instances (financial statements), 410 represents bankrupted companies, 5500 firms that did not bankrupt in the forecasting period.
Subject Area
Business
Instances
10,503
Features
–
Data Types
Multivariate
Tasks
Classification
Feature Types
Continuous
Features
| Name | Role | Type | Units | Missing Values |
|---|---|---|---|---|
| year | Feature | Integer | - | No |
| A1 | Feature | Continuous | - | No |
| A2 | Feature | Continuous | - | No |
| A3 | Feature | Continuous | - | No |
| A4 | Feature | Continuous | - | Yes |
| A5 | Feature | Continuous | - | Yes |
| A6 | Feature | Integer | - | No |
| A7 | Feature | Continuous | - | No |
| A8 | Feature | Continuous | - | Yes |
| A9 | Feature | Continuous | - | No |
| A10 | Feature | Continuous | - | No |
| A11 | Feature | Continuous | - | No |
| A12 | Feature | Continuous | - | Yes |
| A13 | Feature | Continuous | - | No |
| A14 | Feature | Continuous | - | No |
| A15 | Feature | Continuous | - | No |
| A16 | Feature | Continuous | - | Yes |
| A17 | Feature | Continuous | - | Yes |
| A18 | Feature | Continuous | - | No |
| A19 | Feature | Continuous | - | No |
| A20 | Feature | Continuous | - | No |
| A21 | Feature | Continuous | - | Yes |
| A22 | Feature | Continuous | - | No |
| A23 | Feature | Continuous | - | No |
| A24 | Feature | Continuous | - | Yes |
| A25 | Feature | Continuous | - | No |
| A26 | Feature | Continuous | - | Yes |
| A27 | Feature | Continuous | - | Yes |
| A28 | Feature | Continuous | - | Yes |
| A29 | Feature | Continuous | - | No |
| A30 | Feature | Continuous | - | No |
| A31 | Feature | Continuous | - | No |
| A32 | Feature | Continuous | - | Yes |
| A33 | Feature | Continuous | - | Yes |
| A34 | Feature | Continuous | - | Yes |
| A35 | Feature | Continuous | - | No |
| A36 | Feature | Continuous | - | No |
| A37 | Feature | Continuous | - | Yes |
| A38 | Feature | Continuous | - | No |
| A39 | Feature | Continuous | - | No |
| A40 | Feature | Continuous | - | Yes |
| A41 | Feature | Continuous | - | Yes |
| A42 | Feature | Continuous | - | No |
| A43 | Feature | Continuous | - | No |
| A44 | Feature | Continuous | - | No |
| A45 | Feature | Continuous | - | Yes |
| A46 | Feature | Continuous | - | Yes |
| A47 | Feature | Continuous | - | Yes |
| A48 | Feature | Continuous | - | No |
| A49 | Feature | Continuous | - | No |
| A50 | Feature | Continuous | - | Yes |
| A51 | Feature | Continuous | - | No |
| A52 | Feature | Continuous | - | Yes |
| A53 | Feature | Continuous | - | Yes |
| A54 | Feature | Continuous | - | Yes |
| A55 | Feature | Integer | - | No |
| A56 | Feature | Continuous | - | No |
| A57 | Feature | Continuous | - | No |
| A58 | Feature | Continuous | - | No |
| A59 | Feature | Integer | - | No |
| A60 | Feature | Continuous | - | Yes |
| A61 | Feature | Continuous | - | Yes |
| A62 | Feature | Continuous | - | No |
| A63 | Feature | Continuous | - | Yes |
| A64 | Feature | Continuous | - | Yes |
| class | Target | Integer | - | No |
Introductory Paper
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
Maciej Ziȩba, S. Tomczak, Jakub M. Tomczak. 2016.
Expert systems with applications