Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 10.54216/JAIM https://www.americaspg.com/journals/show/1411 2022 2022 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia Doaa S. Khafaga Department of System Programming South Ural State University; pr. Lenina 76, Chelyabinsk, 454080 Russia Hussein Alkattan Electronic and Computer Center, University of Diyala, Baqubah MJJ2+R9G, Iraq Alhumaima A. Subhi When there are numerous possible solutions for a given class in a given problem, majority voting or plurality voting is typically employed. One common technique for improving classification accuracy is bagging, which involves training many classifiers on slightly different datasets and then voting on the combined results. In this research, we examine how alternative voting procedures affect the efficiency of two distinct classification algorithms applied to datasets of varying complexity. Despite the increased computing cost associated with determining preference order, the results show that the single transferable vote can be a suitable alternative to plurality voting. 2022 2022 08 15 10.54216/JAIM.020101 https://www.americaspg.com/articleinfo/28/show/1411