Neli Kalcheva – Technical University of Varna, Bulgaria, 9010 Varna, str. Studentska 1
Maya Todorova – Technical University of Varna, Bulgaria, 9010 Varna, str. Studentska 1
Ginka Marinova – Technical University of Varna, Bulgaria, 9010 Varna, str. Studentska 1
DOI: https://doi.org/10.31410/ERAZ.2020.153
6th International Conference – ERAZ 2020 – KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, Online/virtual, May 21, 2020, CONFERENCE PROCEEDINGS
Published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
Conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia
ISSN 2683-5568, ISBN 978-86-80194-33-2, DOI: https://doi.org/10.31410/ERAZ.2020
Abstract
The purpose of the publication is to analyse popular classification algorithms in machine
learning. The following classifiers were studied: Naive Bayes Classifier, Decision Tree and AdaBoost
Ensemble Algorithm. Their advantages and disadvantages are discussed. Research shows that there is
no comprehensive universal method or algorithm for classification in machine learning. Each method
or algorithm works well depending on the specifics of the task and the data used.
Key words
Classification, Machine learning, Naive Bayes classifier, Decision tree, Ada Boost Ensemble
algorithm..
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