ChurnNet: A Optimized Modern AI for Churn Prediction

In three linesChurnNet compares classical methods (Random Forests, XGBoost, SVM) with a Unified Multi-Task Time Series Model for customer churn prediction. Results show traditional approaches outperform the modern AI model in predictive performance, data efficiency, and computational requirements across multiple datasets.

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