Examinando por Autor "Quevedo Rodríguez, Yuri Tatiana"
Mostrando 1 - 1 de 1
Resultados por página
Opciones de ordenación
- ÍtemPronóstico de abandono de un cliente de telefonía celular prepago mediante la aplicación de técnicas de Machine Learning(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Quevedo Rodríguez, Yuri Tatiana; Sang López, Hernando Miguel; Villarraga Palomino, Jesús AntonioCurrently, there are multiple companies that offer cell phone services with similar offers and packages in the market, which makes the movement of users between them very frequent, generating massive dropouts due to free competition. In this sense, what is sought with this work is to determine the behavior associated with customers who leave the anonymous prepaid telephone company and predict, through the use of Machine Learning techniques, the similarity in the behavior of active and inactive users. and classify them within a dropout risk profile for consecutive years. The analysis was done through different Machine Learning techniques "Random Forests, decision trees, logistic regression, polynomial type vector machine support and rbf type vector machine support", which allows characterizing the active users within a correlation with the users who have abandoned and through the mentioned models predict the risk of abandonment for different users.