Koen De Bock
Show
Sort by
-
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
-
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
-
Enhancing database marketing with ensemble learning
(2010) -
- Conference Paper
- P1
- open access
Ensembles of probability estimation trees for customer churn prediction
-
GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers. R Package version 1.11.