Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An exploration of the impact of Feature quality versus Feature quantity on the performance of a machine learning model Subject The topic of the resource Deep Learning; Feature engineering; Machine Learning Description An account of the resource About 0.62 trillion bytes of data are generated every hour globally. These figures have been increasing as a result of digitalization and social networks. Some data ecosystems capture, store, and manage this big DATA. The basis is to be able to analyze their information and extract their value. This fact is a gold mine for companies researching and using this data. This leads us to follow how essential and valuable data is in this growing age. For any machine learning model, the selection of data is necessary. In this paper, several experiments have been performed to check the importance of data quality vs. data quantity on model performance. This clearly indicates comparing the data's richness regarding feature quality (e.g., features in images) and the amount of data for any machine learning model. Images are classified into two sets based on features, then removing redundant features from them, then training a machine learning model. Model getting trained with non-redundant data gives highest accuracy (&gt;80%) in all cases versus the one with all features, proving the importance of feature variability and not just the feature count. 2023 IEEE. Creator An entity primarily responsible for making the resource Bhayani K.; Tanna D.; Maan V.; Dhiraj; Kumar S. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC457730.2023.10262824" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262824</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&amp;doi=10.1109%2FInC457730.2023.10262824&amp;partnerID=40&amp;md5=5c0038dfc9cb8bb2900a8db5696bfb81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&amp;doi=10.1109%2fInC457730.2023.10262824&amp;partnerID=40&amp;md5=5c0038dfc9cb8bb2900a8db5696bfb81</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhayani K., Birla Institute of Technology and Science, Rajasthan, Pilani, India; Tanna D., Birla Institute of Technology and Science, Rajasthan, Pilani, India; Maan V., Mody University, Department of Computer Science, Rajasthan, Sikar, India; Dhiraj, CSIR-CEERI, Rajasthan, Pilani, India; Kumar S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India