An empirical comparison of techniques for the class imbalance problem in churn prediction.

Bing Zhu Bart Baesens Seppe K. L. M. vanden Broucke

Published in: Inf. Sci. (2017)

Keyphrases

class imbalance
churn prediction
class distribution
active learning
data mining
cost sensitive
rule induction
credit risk
random forest
high dimensionality
concept drift
feature selection
test set
training data
microarray
evaluation method
rough sets
training set
feature space
pattern recognition
machine learning