Mobile Legends Hero Winning Prediction Using Naïve Bayes
Sistem Prediksi Kemenangan Hero Mobile Legends Menggunakan Metode Naive Bayes
DOI:
https://doi.org/10.21070/ups.3682Keywords:
Hero, Mobile Legends, Naive Bayes, Winning PredictionAbstract
Mobile Legends Bang-Bang is a MOBA (Multiplayer Online Battle Arena) game of a battle between two teams where each team consists of five players and use of hero characters. Mobile Legends is one of the most popular competitions in the world of e-sports so that tournaments are often held both between domestic and foreign teams. This phenomenon makes various teams set strategies in winning matches, one of which is hero selection or hero draft pick. A suitable combination of heros is needed in one team. The calculation of the probability of victory in this study is done by utilizing the probability values of a hero. The probability value of this hero obtained from the use of the naïve bayes method because of its easy implementation and can work in relatively few datasets. This research produced a winning prediction system with an acuracy of 80% correct predictions from 50 matches tested.
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