Title :
Contact personalization using a score understanding method
Author :
Lemaire, Vincent ; Féraud, Raphael ; Voisine, Nicolas
Author_Institution :
Orange Labs., Lannion
Abstract :
This paper presents a method to interpret the output of a classification (or regression) model. The interpretation is based on two concepts: the variable importance and the value importance of the variable. Unlike most of the state of art interpretation methods, our approach allows the interpretation of the model output for every instance. Understanding the score given by a model for one instance can for example lead to an immediate decision in a customer relational management (CRM) system. Moreover the proposed method does not depend on a particular model and is therefore usable for any model or software used to produce the scores.
Keywords :
customer relationship management; contact personalization; customer relational management; score understanding; value importance; variable importance; Input variables; Linear regression; Power system modeling; Predictive models; Radio frequency; Solid modeling; Support vector machine classification; Support vector machines; Testing; Training data;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633863
