most citedPredicting Customer Churn: Extreme Gradient Boosting with Temporal Data

15 citations · 15 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2018★ 15 cited

Predicting Customer Churn: Extreme Gradient Boosting with Temporal Data

Bryan Gregory

Accurately predicting customer churn using large scale time-series data is a common problem facing many business domains. The creation of model features across various time windows…