Noise-free sampling with majority framework for an imbalanced classification problem

Computer Science

• Minority Class 100%
• Classification Problem 100%
• Majority Class 100%
• Synthetic Data 100%
• Evaluation Metric 50%
• Accurate Information 50%
• Class Imbalance 50%
• Experimental Result 50%
• Data Distribution 50%
• Class Distribution 50%
• Primary Objective 50%
• Decision Boundary 50%
• Machine Learning 50%
• Learning System 50%