Learning from a class imbalanced public health dataset: A cost-based comparison of classifier performance

INIS

• performance 100%
• cost 100%
• comparative evaluations 100%
• public health 100%
• learning 100%
• datasets 100%
• data 50%
• sampling 37%
• populations 25%
• mining 25%
• tools 12%
• interventions 12%
• cost benefit analysis 12%
• distribution 12%
• classification 12%
• matrices 12%
• accuracy 12%
• balances 12%
• policy 12%
• randomness 12%

Computer Science

• Class Imbalance 100%
• Bayesian Classifier 100%
• Benefit Cost Analysis 50%
• Open Source 50%
• Sampled Dataset 50%
• Public Health Care 50%
• Data Mining Technique 50%
• False Negative 50%
• classifier ensemble 50%
• Class Distribution 50%
• Data Mining Tool 50%
• Classification Accuracy 50%