Fig. 11
From: Customer churn prediction in telecom using machine learning in big data platform
Performance of classification algorithms per sliding window and feature type. Panel (a) shows the improvement of churn predictive model using Statistical Features related to different historical periods, panel (b) presents the changes in predictive model improvement using SNA Features related to the same historical periods, and panel (c) presents the enhancement of churn predictive model when using both statistical and SNA Features