Gyms Customer Loyalty Using the Logistic Regression Algorithm Technique

Munoz J.M.; Osorio M.R.; Rodriguez C.; Rodriguez D.; Lezama P.; Pomachagua Y. · Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 (2022) · DOI: 10.1109/cicn56167.2022.10008370

Resumen

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.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Peruana de Ciencias Aplicadas; Universidad Nacional Federico Villarreal