An approach for classification of highly imbalanced data using weighting and undersampling

Computer Science

• Classification 50%
• Classification (Machine Learning) 50%
• Contexts 50%
• Data Modelling 50%
• High Sensitivity 50%
• Imbalanced Data 100%
• Machine Learning 50%
• Majority Class 50%
• Real World 50%
• Support Vector Machine 100%

Biochemistry, Genetics and Molecular Biology

• Classification 50%
• Learning 100%
• Sample 50%
• Sampling 50%