Economics at your fingertips  

Reconciling performance and interpretability in customer churn prediction modeling using ensemble learning based on generalized additive models

Koen De Bock () and Dirk Van den Poel ()

Post-Print from HAL

Date: 2012
Note: View the original document on HAL open archive server:
References: Add references at CitEc
Citations: View citations in EconPapers (9) Track citations by RSS feed

Published in Expert Systems with Applications, Elsevier, 2012, 39 (8), pp.6816-6826

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

Page updated 2022-09-18
Handle: RePEc:hal:journl:hal-00800148