Classification Algorithm Based on Machine Learning to Optimize Athletes Talent Detection

Abstract

The objective of this research is to automate the process of detecting youth athletic talent using a classification algorithm based on Machine Learning in a mobile application. The research addresses the problem of detecting talented athletes of young people aged between 6 and 18, which is deficient due to the complexity and amount of information that is processed to classify an athlete in the Academy in an accurate and timely manner in the corresponding discipline. “La Academia del IPD” is the massive support program in sport of the Peruvian Sports Institute, which seeks to promote sports activity and the training of sports talents.