Uplift Modeling : Identifying Optimal Treatment Group Allocation and Whom to Contact to Maximize Return on Investment

Uplift Modeling : Identifying Optimal Treatment Group Allocation and Whom to Contact to Maximize Return on Investment

This report investigates the possibilities to model the causal effect of treatment within the insurance domain to increase return on investment of sales through telemarketing. In order to capture the causal effect, two or more subgroups are required where one group receives control treatment. Two di...

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Bibliographic Details
Main Author: Karlsson, Henrik
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2019
Subjects:
Causal Effect
Uplift Modeling
Class Transformation Method
Model Uplift Directly
Random Forest
XGBoost
Qini Curve
Qini Coefficient
Optimal Control Group Allocation
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157962

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157962

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