An exploration of the impact of Feature quality versus Feature quantity on the performance of a machine learning model
- Title
- An exploration of the impact of Feature quality versus Feature quantity on the performance of a machine learning model
- Description
- Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
- Creator
- Bhayani K.; Tanna D.; Maan V.; Dhiraj; Kumar S.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&doi=10.1109%2fInC457730.2023.10262824&partnerID=40&md5=5c0038dfc9cb8bb2900a8db5696bfb81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&doi=10.1109%2fInC457730.2023.10262824&partnerID=40&md5=5c0038dfc9cb8bb2900a8db5696bfb81</a>
- Date
- 2023-01-01
Collection
Citation
Bhayani K.; Tanna D.; Maan V.; Dhiraj; Kumar S., “An exploration of the impact of Feature quality versus Feature quantity on the performance of a machine learning model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10188.