Analyzing the Impact of the Sports Event with Machine Learning

Is the measurement of the impact of mega sports events truly effective? Despite the widespread engagement and cultural significance of mega sporting events, many countries aim to host such events under the presumption of their value. However, current methods of assessing the economic and associated activities in estimating the impact of these sporting events are fraught with limitations. This research examines one such event, the FIFA World Cup, employing machine learning techniques to estimate the economic and sporting impact of hosting such events. Specifically, we utilize the Weaker Learner Algorithm for an analysis of various predictors to identify key parameters. As a result, we have developed a predictive mathematical model capable of estimating the event's impact based on these significant predictors.