Customer Churn Prediction: Machine Learning Classification for Identifying Potential Churn

Key Points

• The aim is to predict customer churn by identifying potential churners using machine learning techniques.
• Evaluated various machine learning classification algorithms
• Analyzed customer data to identify churn patterns
• Conducted experiments using training and test datasets
• Identified significant predictors of customer churn
• Achieved high accuracy in classifying potential churners
• Provided insights for improving customer retention strategies

Abstract