Browsing by Subject "Imbalanced dataset treatment"

Now showing items 1-1 of 1

    • A framework to improve churn prediction performance in retail banking 

      Brito, João Batista Gonçalves de; Bucco, Guilherme Brandelli; Silveira, Rodrigo Heldt; Becker, Joao Luiz; Silveira, Cleo Schmitt; Luce, Fernando Bins; Anzanello, Michel José (2024) [Journal article]
      Managing customer retention is critical to a company’s proftability and frm value. However, predicting customer churn is challenging. The extant research on the topic mainly focuses on the type of model developed to predict ...