Balancing Performance Measures in Classification Using Ensemble Learning Methods

Mathematics

• Ensemble Learning 100%
• Specificity 67%
• Balancing 63%
• Performance Measures 62%
• Bagging 22%
• Evaluate 22%
• Feature Vector 21%
• Distributed Computing 19%
• Diabetes 18%
• Boosting 18%
• Margin 15%
• Cross-validation 15%
• Machine Learning 15%
• Computational Efficiency 14%
• Predict 12%
• Experiment 10%
• Demonstrate 8%
• Class 8%

Business & Economics

• Ensemble Learning 89%
• Learning Methods 69%
• Specificity 54%
• Performance Measures 47%
• Cross-validation 22%
• Bagging 20%
• Distributed Computing 20%
• Machine Learning 18%
• Diabetes 17%
• Boosting 14%
• Imbalance 13%
• Margin 12%
• Experiment 8%

Engineering & Materials Science

• Learning systems 56%
• Medical problems 15%
• Distributed computer systems 14%
• Computational efficiency 13%
• Machine learning 10%
• Experiments 4%