An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation
Amin Noroozi,
Mohammad S. Hasan,
Maryam Ravan
et al.
Abstract:Discovering features that set elite players apart is of great significance for eSports coaches as it enables them to arrange a more effective training program focused on improving those features. Moreover, finding such features results in a better evaluation of eSports players' skills, which, besides coaches, is of interest for game developers to design games automatically adaptable to the players' expertise. Sensor data combined with machine learning have already proved effective in classifying eSports player… Show more
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