Guidelines for laboratory work on the topic "Classification Using Weka" (Decision Tree, Naive Bayes)

Yangolenko, OlgaIvaschenko, OksanaMelnyk, KarinaYershova, SvetlanaLutenko, Irina2025-01-242024Guidelines for laboratory work on the topic "Classification Using Weka" (Decision Tree, Naive Bayes) [Electronic resource] : for students of spec. 121 "Software engineering", 122 "Computer science" / comp.: Yangolenko Olga, Ivaschenko Oksana, Melnyk Karina, Yershova Svetlana, Lutenko Irina ; National Technical University "Kharkiv Polytechnic Institute". – Electronic text data. – Kharkiv, 2024. – 11 p. – URI: https://repository.kpi.kharkov.ua/handle/KhPI-Press/85551https://repository.kpi.kharkov.ua/handle/KhPI-Press/85551Aim: To fulfil classification (Decision Tree, Naive BayeS) using Weka mining tool. Tools/ Apparatus: Weka mining tool.enguidelineslaboratory workWEKAclassification using WEKANaive Bayesdecision treeGuidelines for laboratory work on the topic "Classification Using Weka" (Decision Tree, Naive Bayes)Learning Object