Datasets › German Credit Dataset
German Credit Dataset
Two datasets are provided. the original dataset, in the form provided by Prof. Hofmann, contains categorical/symbolic attributes and is in the file "german.data".
For algorithms that need numerical attributes, Strathclyde University produced the file "german.data-numeric". This file has been edited and several indicator variables added to make it suitable for algorithms which cannot cope with categorical variables. Several attributes that are ordered categorical (such as attribute 17) have been coded as integer. This was the form used by StatLog.
This dataset requires use of a cost matrix:
| Good | Bad | |
|---|---|---|
| Good | 0 | 1 |
| Bad | 5 | 0 |
The rows represent the actual classification and the columns the predicted classification.
It is worse to class a customer as good when they are bad (5), than it is to class a customer as bad when they are good (1).
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 21 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- German Credit Dataset
1 variant name, as the archive lists them.
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