Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance

HIGHLIGHTS

• who: Customer churn prediction and collaborators from the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia have published the Article: Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance, in the Journal: (JOURNAL) of 27/06/2022
• what: CIP is a block when trying to achieve the major goal of CCP, since it degrades classification accuracy. Mehrotra et_al This research work proposed a conceptual and computational framework and several policies for optimizing the relevance of the recommendation systems. The study introduced a new set of fairness evaluation metrics . . .
  

   

  

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