Gyms Customer Loyalty Using the Logistic Regression Algorithm Technique
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Authors
Munoz, Joaquin MorenoOsorio, Miguel Ramirez
Rodriguez, Ciro
Rodriguez, Diego
Lezama, Pedro
Pomachagua, Yuri
Issue Date
2022-01-01
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Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022DOI
https://doi.org/10.1109/CICN56167.2022.10008370Abstract
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.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/openAccessLanguage
engae974a485f413a2113503eed53cd6c53
https://doi.org/10.1109/CICN56167.2022.10008370
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- Creative Commons
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess