Measuring and Visualizing Dataset Coverage for Machine Learning
Measuring and visualizing the relative strength of datasets in machine learning can be highly useful. Combinatorial methods effectively measure coverage of interactions between features, an essential consideration in judging data adequacy for training and testing.
Authors
- D. Richard Kuhn (ORCID: https://orcid.org/0000-0003-0050-1596)
- M S Raunak (ORCID: https://orcid.org/0000-0003-4934-7331)
- Raghu N. Kacker (ORCID: https://orcid.org/0000-0002-7666-3391)
Institutions
- National Institute of Standards and Technology (US)
Publication Details
- Journal
- Computer
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/mc.2025.3527374
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00