Shapley Value in Machine Learning Modeling: Optimizing Decision-Making in Coworking Spaces

Game Theory is a mathematical approach to interactive decision- making situations, focusing on players and strategies. The Shapley Value is a fundamental concept in cooperative Game Theory, as it provides a fair method for distributing gains or costs among players. This study calculates the Shapley Value within machine learning mod- els to determine the marginal contribution to the success of collabora- tive projects, helping to identify investments to maximize the success of coworking spaces in mountain areas. Machine learning models of- fer valuable insights to predict investments and strategic decisions in a mountain coworking space, ensuring and maximizing its success. The Gradient Boosting model excels at identifying key features such as inter- net connectivity and accessibility in mountain environments, allowing decision makers to invest in high-quality network infrastructure and ac- cessibility improvements for coworking spaces.