Gyms Customer Loyalty Using the Logistic Regression Algorithm Technique

• Autores: Munoz, Joaquin Moreno, Osorio, Miguel Ramirez, Rodriguez, Ciro, Rodriguez, Diego, Lezama, Pedro, Pomachagua, Yuri
• Formato: artículo
• Fecha de Publicación: 2022
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/669235
• Enlace del recurso: http://hdl.handle.net/10757/669235
• Nivel de acceso: acceso embargado
• Materia: algorithm; customer loyalty; gyms; logistic regression

The objective of this work is to implement the logistic regression technique in datasets of gyms to identify and make a respective analysis for a correct segmentation of clients and, in this way, maximize the possibility of retaining clients; this will also allow us to rule out wrong decisions and incorrect assumptions, in addition to optimizing management according to customer data, which will be vital for a correct loyalty of gym users. The precision calculated the loyalty by the logistic regression algorithm considering important factors such as the rate of abandonment.