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 Articles Article Faculty Publications -Articles 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 Machine Learning-Based Classification of Autism Spectrum Disorder across Age Groups Subject The topic of the resource Autism Spectrum Disorder; classifiers; cuckoo search; machine learning Description An account of the resource Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that has gained significant attention in recent years due to its increasing prevalence and profound impact on individuals, families, and society as a whole. In this study, we explore the use of different machine learning classifiers for the accurate detection of ASD in children, adolescents, and adults. Furthermore, we conduct feature reduction to identify key features contributing to ASD classification within each age group using Cuckoo Search Algorithm. Logistic Regression has the highest accuracy compared to the other two models. 2024 by the authors. Creator An entity primarily responsible for making the resource Reghunathan R.K.; Venkidusamy P.N.P.; Kurup R.G.; George B.; Thomas N. Source A related resource from which the described resource is derived Engineering Proceedings, Vol-62, No. 1 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/engproc2024062012" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/engproc2024062012</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196492066&amp;doi=10.3390%2Fengproc2024062012&amp;partnerID=40&amp;md5=ad2b72b8dcedae60a1c6ef904d30d2ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196492066&amp;doi=10.3390%2fengproc2024062012&amp;partnerID=40&amp;md5=ad2b72b8dcedae60a1c6ef904d30d2ff</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 26734591 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reghunathan R.K., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; Venkidusamy P.N.P., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; Kurup R.G., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; George B., Department of Computer Science, Nirmala College Muvattupuzha, Muvattupuzha, 686661, India; Thomas N., Department of Computer Science, Santhigiri College, Vazhithala, Thodupuzha, 685583, India