Traditional ML models outperform a multi-task time series model for churn prediction across multiple datasets and labeling methods.
In: Information Integration and Web Intelligence: 26th International Conference, IiWAS 2024, Bratislava, Slovak Republic, De- cember 2–4
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
ChurnNet: A Optimized Modern AI for Churn Prediction
Traditional ML models outperform a multi-task time series model for churn prediction across multiple datasets and labeling methods.