Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction

Keyphrases

• Overlap Ratio 100%
• Synthetic Minority Oversampling Technique (SMOTE) 100%
• Oversampling Technique 100%
• Class Imbalance Problem 100%
• Class Imbalance 100%
• Customer Churn Prediction 100%
• Genetic Algorithm 100%
• Learning Facilitation 50%
• Performance Metrics 50%
• Benchmark Dataset 50%
• Balancing Strategy 50%
• G-mean 50%
• Preprocessing Techniques 50%
• Process Performance 50%
• Experiment Results 50%
• Skewed Datasets 50%
• ADASYN 50%
• Effective Method 50%
• False Negative Rate 50%
• Wilcoxon Signed-rank Test 50%
• Machine Learning 50%
• Performance Results 50%
• Learning Process 50%
• Generalization Performance 50%
• Performance Improvement 50%
• Fitness Function 50%
• Machine Learning Techniques 50%
• Class Balance 50%
• UCI Dataset 50%
• Random Sampling Method 50%
• Popular 50%
• Minority Class 50%

Computer Science

• Machine Learning 100%
• Class Imbalance 100%
• Genetic Algorithm 100%
• Learning System 100%
• Class Imbalance Problem 100%
• Performance Metric 50%
• Preprocessing Phase 50%
• False Negative 50%
• Minority Class 50%
• Effective Method 50%
• Learning Process 50%
• Fitness Function 50%
• Generalization Performance 50%
• Sampling Technique 50%