Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/1936
Title: A Comparison of Data Classification Efficiency for Hepatitis
Other Titles: การเปรียบเทียบประสิทธิภาพการจาแนกข้อมูลการเกิดโรคไวรัสตับอักเสบ
Authors: Suksamai, Chutima
Kairung Hengpraprohm, Kairung
Hengpraprohm, Supojn
Keywords: K-Nearest neighbor
Decision Tree
Naive Bayes
Hepatitis B Virus Infection
Data Classification
Issue Date: 14-Jul-2023
Publisher: The 15th NPRU National Academic Conference Nakhon Pathom Rajabhat University
Series/Report no.: Proceedings of the 15th NPRU National Academic Conference;613
Abstract: The objectives of this research are: 1) to study the methods for data classification of hepatitis virus occurrence, and 2) to compare the efficiency of hepatitis data classification by using 3 techniques including k Nearest Neighbor, Decision Tree, and Naive Bayes. The results show Naive Bayes and the Decision Tree give the best performance by providing 100% accuracy, 100% accuracy, and 100% recall followed by k Nearest neighbor with 91% accuracy, 91% accuracy, and 100% recall.
URI: https://publication.npru.ac.th/jspui/handle/123456789/1936
ISBN: 978-974-7063-43-1
Appears in Collections:Proceedings of the 15th NPRU National Academic Conference

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