Damiano Distante
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2026
ChurnNet: A Optimized Modern AI for Churn Prediction
This paper compares traditional machine learning models (Random Forests, XGBoost, SVM) against a complex Unified Multi-Task Time Series Model for churn prediction, concluding that conventional methods often outperform the advanced time-series approach.
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