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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Analysis of attention deficit hyperactivity disorder using various classifiers Subject The topic of the resource ADHD; Bayes net; Classification; Data mining; J48 decision tree; Logistic model tree; Nae bayes; Random forest; Sequential minimal optimization Description An account of the resource Attention Deficit Hyperactivity Disorder (ADHD) is a neurobehavioral childhood impairment that wipes away the beauty of the individual from a very young age. Data mining classification techniques which are becoming a very important field in every sector play a vital role in the analysis and identification of these disorders. The objective of this paper is to analyze and evaluate ADHD by applying different classifiers like Nae Bayes, Bayes Net, Sequential Minimal Optimization, J48 decision tree, Random Forest, and Logistic Model Tree. The dataset employed in this paper is the first publicly obtainable dataset ADHD-200 and the instances of the dataset are classified into low, moderate, and high ADHD. The analysis of the performance metrics and therefore the results show that the Random Forest classifier offers the highest accuracy on ADHD dataset compared to alternative classifiers. With the current need to provide proper evaluation and management of this hyperactive disorder, this research would create awareness about the influence of ADHD and can help ensure the proper and timely treatment of the affected ones. Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource George H.K.; Nizar Banu P.K. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-53, pp. 283-296. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5258-8_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5258-8_28</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372646&amp;doi=10.1007%2F978-981-15-5258-8_28&amp;partnerID=40&amp;md5=bf4947e42b2dd7f567f9e06db9a2121b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372646&amp;doi=10.1007%2f978-981-15-5258-8_28&amp;partnerID=40&amp;md5=bf4947e42b2dd7f567f9e06db9a2121b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George H.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India