polish_companies_bankruptcy

This dataset was curated for [TabArena](https://tabarena.ai/) by the TabArena team
as part of the [TabArena Tabular ML IID Study](https://tabarena.ai/data-tabular-ml-iid-study).
For more details on the study, see our [paper](https://tabarena.ai/paper-tabular-ml-iid-study).

**Dataset Focus**: This dataset shall be used for evaluating predictive machine
learning models for independent and identically distributed tabular data. The
intended task is classification.

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#### Dataset Metadata
- **Licence:** CC BY 4.0
- **Original Data Source:** https://doi.org/10.24432/C5F600
- **Reference (please cite)**: Zieba, Maciej, Sebastian K. Tomczak, and Jakub M. Tomczak. 'Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction.' Expert systems with applications 58 (2016): 93-101. https://doi.org/10.1016/j.eswa.2016.04.001
- **Dataset Year:** 2010
- **Dataset Description:** see the reference and the original data source for details.

#### Curation comments by the TabArena team (for code see the [page of the study](https://tabarena.ai/data-tabular-ml-iid-study)):
- We only use data from year 5, because it is the newest data and the target is bankruptcy status after only 1 year.
- We created semantically meaningful feature names.
- Anomaly: the data contains a lot of features created by feature engineering.