Stacking Ensemble Approach for Churn Prediction: Integrating CNN and Machine Learning Models with CatBoost Meta-Learner
In the telecom industry, predicting customer churn is crucial for improving customer retention.In literature, the use of single classifiers is predominantly focused.Customer data is complex data due to class read more imbalance and contain multiple factors that exhibit nonlinear dependencies.In these complex scenarios, single classifiers may be una