Transparent Data Preprocessing for Machine Learning

URN to cite this document:: urn:nbn:de:bvb:355-epub-598259
DOI to cite this document:: 10.5283/epub.59825

Strasser, Sebastian ; Klettke, Meike

License: Creative Commons Attribution 4.0
PDF - Published Version
(690kB)

Date of publication of this fulltext: 13 Jan 2025 14:44

Alternative links to fulltext:DOI Publisher

Details

Preview

Export bibliographical data

Abstract

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 ...