CUSTOMER CHURN PREDICTION USING HISTOGRAM AUGMENTATION TECHNIQUE AND XGBOOST MODEL WITH BAYESIAN OPTIMIZATION

Keyphrases

• Histogram 100%
• XGBoost 100%
• XGBoost Model 100%
• Augmentation Techniques 100%
• Bayesian Optimization 100%
• Customer Churn Prediction 100%
• Customer Churn 50%
• F1 Score 25%
• Telecommunication Companies 25%
• Machine Learning Techniques 25%
• Ensemble Learning 25%
• Imbalanced Data 25%
• Common Challenges 25%
• Hyperparameters 25%
• Classification Problem 25%
• Synthetic Minority Oversampling Technique (SMOTE) 25%
• Telecom 25%
• Telco 25%
• Minority Class 25%
• Gradient Boosting Machine 25%
• Imbalanced Class Data 25%
• Churn Risk 25%

Computer Science

• Extreme Gradient Boosting 100%
• Experimental Result 16%
• Case Study 16%
• Classification Problem 16%
• Ensemble Learning 16%
• Machine Learning Technique 16%
• Minority Class 16%
• Telecommunication 16%
• Leaning Parameter 16%