Churn Prediction : Predicting User Churn for a Subscription-based Service using Statistical Analysis and Machine Learning Models
Subscription-based services are becoming more popular in today’s society. Therefore, any company that engages in the subscription-based business needs to understand the user behavior and minimize the number of users canceling their subscription, i.e. minimize churn. According to marketing metrics, t...
Main Authors: | Flöjs, Amanda, Hägg, Alexandra |
---|---|
Format: | Others |
Language: | English |
Published: |
Umeå universitet, Institutionen för matematik och matematisk statistik
2020
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-171678 |
Similar Items
-
Binary Classification for Predicting Customer Churn
by: Axén, Maja, et al.
Published: (2020) -
Review of Data Mining Techniques for Churn Prediction in Telecom
by: Vishal Mahajan, et al.
Published: (2015-12-01) -
A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector
by: Irfan Ullah, et al.
Published: (2019-01-01) -
Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning
by: Tryggvadottir, Valgerdur
Published: (2019) -
Churn Prediction
by: Åkermark, Alexander, et al.
Published: (2019)