Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study.
Adnan AminSajid AnwarAwais AdnanMuhammad NawazNewton HowardJunaid QadirAhmad Y. A. HawalahAmir HussainPublished in: IEEE Access (2016)
Keyphrases
- class imbalance
- customer churn
- prediction model
- case study
- churn prediction
- class distribution
- active learning
- cost sensitive learning
- cost sensitive
- minority class
- prediction accuracy
- majority class
- high dimensionality
- rule induction
- sampling methods
- feature selection
- regression model
- concept drift
- machine learning
- neural network
- data sets
- nearest neighbor
- training data
- real world