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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-598259
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.59825
Zusammenfassung
Data preprocessing is an important task in machine learning which can significantly improve model outcomes. However, evaluating the impact of data preprocessing is often difficult. There is a need for tools which make it transparent to the user on how certain transformations conducted in preprocessing affect the data. Thus, we propose a vision of a transparency system for data preprocessing that ...
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