Open AccessMachine Learning for sport results prediction using algorithms
Author(s) -
Saïd Lotfi,
Mohamed rebbouj
Publication year - 2021
Publication title -
international journal of information technology and applied sciences
Language(s) - English
Resource type - Journals
ISSN - 2709-2208
DOI - 10.52502/ijitas.v3i3.114
Subject(s) - machine learning , benchmark (surveying) , computer science , artificial intelligence , data analysis , analytics , data mining , online machine learning , data collection , algorithm , data science , active learning (machine learning) , mathematics , geodesy , geography , statistics
This paper describes the use of machine learning in sports. Given the recent trend in Data science and sport analytics, the use of Machine Learning and Data Mining as techniques in sport reveals the essential contribution of technology in results and performance prediction. The purpose of this paper is to benchmark existing analysis methods used in literature, to understand the prediction processes used to model Data collection and its analysis; and determine the characteristics of the variables controlling the performance. Finally, this paper will suggest the reliable tool for Data mining analysis technique using Machine Learning.